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Vladimir G. Kim

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affiliation: Adobe, USA

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Books and Theses

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2013
[b1]
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Vladimir G. Kim:
Understanding the Structure of Large, Diverse Collections of Shapes. Princeton University, USA, 2013

Journal Articles

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2025
[j34]
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Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3718-3730 (2025)
[j33]
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Arman Maesumi, Tanish Makadia, Thibault Groueix, Vladimir G. Kim, Daniel Ritchie, Noam Aigerman:
PoissonNet: A Local-Global Approach for Learning on Surfaces. ACM Trans. Graph. 44(6): 175:1-175:16 (2025)
2024
[j32]
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Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra:
Neural Semantic Surface Maps. Comput. Graph. Forum 43(2): i-iii (2024)
[j31]
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Chen Chen, Cuong Nguyen, Thibault Groueix, Vladimir G. Kim, Nadir Weibel:
MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback. ACM Trans. Comput. Hum. Interact. 31(5): 67:1-67:41 (2024)
[j30]
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Arman Maesumi, Dylan Hu, Krishi Saripalli, Vladimir G. Kim, Matthew Fisher, Sören Pirk, Daniel Ritchie:
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns. ACM Trans. Graph. 43(4): 114:1-114:21 (2024)
2022
[j29]
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Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix:
Neural jacobian fields: learning intrinsic mappings of arbitrary meshes. ACM Trans. Graph. 41(4): 109:1-109:17 (2022)
2021
[j28]
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Benjamin T. Jones, Dalton Hildreth, Duowen Chen, Ilya Baran, Vladimir G. Kim, Adriana Schulz:
AutoMate: a dataset and learning approach for automatic mating of CAD assemblies. ACM Trans. Graph. 40(6): 227:1-227:18 (2021)
2020
[j27]
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Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson:
Neural subdivision. ACM Trans. Graph. 39(4): 124 (2020)
2019
[j26]
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Elena Balashova, Amit H. Bermano, Vladimir G. Kim, Stephen DiVerdi, Aaron Hertzmann, Thomas A. Funkhouser:
Learning A Stroke-Based Representation for Fonts. Comput. Graph. Forum 38(1): 429-442 (2019)
[j25]
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He Wang, Sören Pirk, Ersin Yumer, Vladimir G. Kim, Ozan Sener, Srinath Sridhar, Leonidas J. Guibas:
Learning a Generative Model for Multi-Step Human-Object Interactions from Videos. Comput. Graph. Forum 38(2): 367-378 (2019)
[j24]
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Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Unsupervised cycle-consistent deformation for shape matching. Comput. Graph. Forum 38(5): 123-133 (2019)
2018
[j23]
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Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, Leonidas J. Guibas:
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces. Comput. Graph. Forum 37(5): 71-81 (2018)
[j22]
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Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, Ersin Yumer:
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks. ACM Trans. Graph. 37(1): 6 (2018)
[j21]
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Marek Dvoroznák, Wilmot Li, Vladimir G. Kim, Daniel Sýkora:
Toonsynth: example-based synthesis of hand-colored cartoon animations. ACM Trans. Graph. 37(4): 167 (2018)
[j20]
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Minchen Li, Danny M. Kaufman, Vladimir G. Kim, Justin Solomon, Alla Sheffer:
OptCuts: joint optimization of surface cuts and parameterization. ACM Trans. Graph. 37(6): 247 (2018)
2017
[j19]
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Kai Xu, Vladimir G. Kim, Qixing Huang, Evangelos Kalogerakis:
Data-Driven Shape Analysis and Processing. Comput. Graph. Forum 36(1): 101-132 (2017)
[j18]
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Danielle Ezuz, Justin Solomon, Vladimir G. Kim, Mirela Ben-Chen:
GWCNN: A Metric Alignment Layer for Deep Shape Analysis. Comput. Graph. Forum 36(5): 49-57 (2017)
[j17]
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Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer:
Learning hierarchical shape segmentation and labeling from online repositories. ACM Trans. Graph. 36(4): 70:1-70:12 (2017)
[j16]
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Haggai Maron, Meirav Galun, Noam Aigerman, Miri Trope, Nadav Dym, Ersin Yumer, Vladimir G. Kim, Yaron Lipman:
Convolutional neural networks on surfaces via seamless toric covers. ACM Trans. Graph. 36(4): 71:1-71:10 (2017)
[j15]
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Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas:
Complementme: weakly-supervised component suggestions for 3D modeling. ACM Trans. Graph. 36(6): 226:1-226:12 (2017)
2016
[j14]
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Melinos Averkiou, Vladimir G. Kim, Niloy J. Mitra:
Autocorrelation Descriptor for Efficient Co-Alignment of 3D Shape Collections. Comput. Graph. Forum 35(1): 261-271 (2016)
[j13]
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Aric Bartle, Alla Sheffer, Vladimir G. Kim, Danny M. Kaufman, Nicholas Vining, Floraine Berthouzoz:
Physics-driven pattern adjustment for direct 3D garment editing. ACM Trans. Graph. 35(4): 50:1-50:11 (2016)
[j12]
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Justin Solomon, Gabriel Peyré, Vladimir G. Kim, Suvrit Sra:
Entropic metric alignment for correspondence problems. ACM Trans. Graph. 35(4): 72:1-72:13 (2016)
[j11]
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Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas J. Guibas:
A scalable active framework for region annotation in 3D shape collections. ACM Trans. Graph. 35(6): 210:1-210:12 (2016)
2015
[j10]
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Minhyuk Sung, Vladimir G. Kim, Roland Angst, Leonidas J. Guibas:
Data-driven structural priors for shape completion. ACM Trans. Graph. 34(6): 175:1-175:11 (2015)
2014
[j9]
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Melinos Averkiou, Vladimir G. Kim, Youyi Zheng, Niloy J. Mitra:
ShapeSynth: Parameterizing model collections for coupled shape exploration and synthesis. Comput. Graph. Forum 33(2): 125-134 (2014)
[j8]
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Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas, Thomas A. Funkhouser:
Shape2Pose: human-centric shape analysis. ACM Trans. Graph. 33(4): 120:1-120:12 (2014)
2013
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Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Siddhartha Chaudhuri, Stephen DiVerdi, Thomas A. Funkhouser:
Learning part-based templates from large collections of 3D shapes. ACM Trans. Graph. 32(4): 70:1-70:12 (2013)
2012
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Tianqiang Liu, Vladimir G. Kim, Thomas A. Funkhouser:
Finding Surface Correspondences Using Symmetry Axis Curves. Comput. Graph. Forum 31(5): 1607-1616 (2012)
[j5]
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Vladimir G. Kim, Yaron Lipman, Thomas A. Funkhouser:
Symmetry-guided texture synthesis and manipulation. ACM Trans. Graph. 31(3): 22:1-22:14 (2012)
[j4]
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Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Stephen DiVerdi, Thomas A. Funkhouser:
Exploring collections of 3D models using fuzzy correspondences. ACM Trans. Graph. 31(4): 54:1-54:11 (2012)
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Yaron Lipman, Vladimir G. Kim, Thomas A. Funkhouser:
Simple formulas for quasiconformal plane deformations. ACM Trans. Graph. 31(5): 124:1-124:13 (2012)
2011
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Vladimir G. Kim, Yaron Lipman, Thomas A. Funkhouser:
Blended intrinsic maps. ACM Trans. Graph. 30(4): 79 (2011)
2010
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Vladimir G. Kim, Yaron Lipman, Xiaobai Chen, Thomas A. Funkhouser:
Möbius Transformations For Global Intrinsic Symmetry Analysis. Comput. Graph. Forum 29(5): 1689-1700 (2010)

Conference and Workshop Papers

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2025
[c57]
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Hyunwoo Kim, Itai Lang, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, Rana Hanocka:
MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation. 3DV 2025: 222-239
[c56]
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Amir Barda, Matheus Gadelha, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix:
Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects. CVPR 2025: 16273-16282
[c55]
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Yuezhi Yang, Qimin Chen, Vladimir G. Kim, Siddhartha Chaudhuri, Qixing Huang, Zhiqin Chen:
GenVDM: Generating Vector Displacement Maps From a Single Image. CVPR 2025: 26618-26629
2024
[c54]
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Seungwoo Yoo, Kunho Kim, Vladimir G. Kim, Minhyuk Sung:
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors. CVPR 2024: 4315-4324
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Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
Temporal Residual Jacobians for Rig-Free Motion Transfer. ECCV (58) 2024: 93-109
[c52]
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Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. ECCV (39) 2024: 110-127
[c51]
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Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. SIGGRAPH (Conference Paper Track) 2024: 92
[c50]
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Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. SIGGRAPH Asia 2024: 10:1-10:11
[c49]
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Amir Barda, Vladimir G. Kim, Noam Aigerman, Amit Haim Bermano, Thibault Groueix:
MagicClay: Sculpting Meshes With Generative Neural Fields. SIGGRAPH Asia 2024: 103:1-103:10
2023
[c48]
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Richard Liu, Noam Aigerman, Vladimir G. Kim, Rana Hanocka:
DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization. CVPR 2023: 16739-16749
[c47]
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Benjamin T. Jones, Michael Hu, Milin Kodnongbua, Vladimir G. Kim, Adriana Schulz:
Self-Supervised Representation Learning for CAD. CVPR 2023: 21327-21336
[c46]
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Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. ICLR 2023
[c45]
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William Gao, Noam Aigerman, Thibault Groueix, Vova Kim, Rana Hanocka:
TextDeformer: Geometry Manipulation using Text Guidance. SIGGRAPH (Conference Paper Track) 2023: 82:1-82:11
[c44]
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Yun-Chun Chen, Vladimir G. Kim, Noam Aigerman, Alec Jacobson:
Neural Progressive Meshes. SIGGRAPH (Conference Paper Track) 2023: 84:1-84:9
[c43]
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Arman Maesumi, Paul Guerrero, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie:
Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models. SIGGRAPH Asia 2023: 68:1-68:11
[c42]
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Milin Kodnongbua, Benjamin T. Jones, Maaz Bin Safeer Ahmad, Vladimir G. Kim, Adriana Schulz:
ReparamCAD: Zero-shot CAD Re-Parameterization for Interactive Manipulation. SIGGRAPH Asia 2023: 69:1-69:12
2022
[c41]
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Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
GLASS: Geometric Latent Augmentation for Shape Spaces. CVPR 2022: 470-479
[c40]
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Luca Morreale, Noam Aigerman, Paul Guerrero, Vladimir G. Kim, Niloy J. Mitra:
Neural Convolutional Surfaces. CVPR 2022: 19311-19320
[c39]
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Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri:
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. ECCV (3) 2022: 503-522
[c38]
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Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie:
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts. ECCV (3) 2022: 610-626
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Thomas W. Mitchel, Noam Aigerman, Vladimir G. Kim, Michael Kazhdan:
Möbius Convolutions for Spherical CNNs. SIGGRAPH (Conference Paper Track) 2022: 30:1-30:9
2021
[c36]
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Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra:
Neural Surface Maps. CVPR 2021: 4639-4648
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Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas:
Joint Learning of 3D Shape Retrieval and Deformation. CVPR 2021: 11713-11722
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Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR 2021: 15740-15749
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Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan:
Field Convolutions for Surface CNNs. ICCV 2021: 9981-9991
[c32]
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Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. ICCV 2021: 10438-10447
[c31]
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Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir G. Kim, Alexandre Boulch, Renaud Marlet, Bryan C. Russell:
3D Reconstruction By Parameterized Surface Mapping. ICIP 2021: 3273-3277
2020
[c30]
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Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. 3DV 2020: 61-70
[c29]
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Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir G. Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X. Chang, Daniel Ritchie:
Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections. 3DV 2020: 613-622
[c28]
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Omid Poursaeed, Tianxing Jiang, Han Qiao, Nayun Xu, Vladimir G. Kim:
Self-Supervised Learning of Point Clouds via Orientation Estimation. 3DV 2020: 1018-1028
[c27]
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Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung:
Neural Cages for Detail-Preserving 3D Deformations. CVPR 2020: 72-80
[c26]
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Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions Using Distance Fields. CVPR 2020: 558-567
[c25]
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Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
Affinity Graph Supervision for Visual Recognition. CVPR 2020: 8244-8252
[c24]
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Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang:
Modeling Artistic Workflows for Image Generation and Editing. ECCV (18) 2020: 158-174
[c23]
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Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim:
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. ECCV (10) 2020: 667-683
[c22]
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Mengqi Peng, Li-Yi Wei, Rubaiat Habib Kazi, Vladimir G. Kim:
Autocomplete Animated Sculpting. UIST 2020: 760-777
[c21]
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Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie:
Neural Puppet: Generative Layered Cartoon Characters. WACV 2020: 3335-3345
2019
[c20]
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Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang:
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119
[c19]
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Amit Raj, Cusuh Ham, Connelly Barnes, Vladimir G. Kim, Jingwan Lu, James Hays:
Learning to Generate Textures on 3D Meshes. CVPR Workshops 2019: 32-38
[c18]
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Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey:
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CVPR 2019: 969-978
[c17]
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Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri:
Shape Unicode: A Unified Shape Representation. CVPR 2019: 3790-3799
[c16]
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Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi:
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. ICCV 2019: 2730-2739
[c15]
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Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. NeurIPS 2019: 7433-7443
[c14]
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Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir G. Kim, Leonidas J. Guibas:
CreativeAI: deep learning for graphics. SIGGRAPH Courses 2019: 8:1-8:265
2018
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Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala:
Learning Material-Aware Local Descriptors for 3D Shapes. 3DV 2018: 150-159
[c12]
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Niloy J. Mitra, Vladimir G. Kim, Ersin Yumer, Moos Hueting, Nathan Carr, Pradyumna Reddy:
SeeThrough: Finding Objects in Heavily Occluded Indoor Scene Images. 3DV 2018: 267-276
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Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
A Papier-Mâché Approach to Learning 3D Surface Generation. CVPR 2018: 216-224
[c10]
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Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri:
Tags2Parts: Discovering Semantic Regions From Shape Tags. CVPR 2018: 2926-2935
[c9]
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Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. CVPR 2018: 7564-7573
[c8]
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Lingyu Wei, Liwen Hu, Vladimir G. Kim, Ersin Yumer, Hao Li:
Real-Time Hair Rendering Using Sequential Adversarial Networks. ECCV (4) 2018: 105-122
[c7]
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Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
3D-CODED: 3D Correspondences by Deep Deformation. ECCV (2) 2018: 235-251
[c6]
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Niloy J. Mitra, Tobias Ritschel, Iasonas Kokkinos, Paul Guerrero, Vladimir G. Kim, Konstantinos Rematas, Ersin Yumer:
Deep Learning for Graphics. Eurographics (Tutorials) 2018: 13-15
[c5]
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  - conf/npar/FanBKPR18
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Xinyi Fan, Amit H. Bermano, Vladimir G. Kim, Jovan Popovic, Szymon Rusinkiewicz:
Tooncap: a layered deformable model for capturing poses from cartoon characters. Expressive 2018: 16:1-16:12
2016
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Kai Xu, Vladimir G. Kim, Qixing Huang, Niloy J. Mitra, Evangelos Kalogerakis:
Data-driven shape analysis and processing. SIGGRAPH ASIA Courses 2016: 4:1-4:38
2014
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Niloy J. Mitra, Michael Wand, Hao Zhang, Daniel Cohen-Or, Vladimir G. Kim, Qi-Xing Huang:
Structure-aware shape processing. SIGGRAPH Courses 2014: 13:1-13:21
2013
[c2]
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Niloy J. Mitra, Michael Wand, Hao (Richard) Zhang, Daniel Cohen-Or, Vladimir G. Kim, Qi-Xing Huang:
Structure-aware shape processing. SIGGRAPH ASIA Courses 2013: 1:1-1:20
2009
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Aleksey Golovinskiy, Vladimir G. Kim, Thomas A. Funkhouser:
Shape-based recognition of 3D point clouds in urban environments. ICCV 2009: 2154-2161

Informal and Other Publications

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2025
[i65]
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Benjamin T. Jones, Felix Hähnlein, Zihan Zhang, Maaz Bin Safeer Ahmad, Vladimir G. Kim, Adriana Schulz:
A Solver-Aided Hierarchical Language for LLM-Driven CAD Design. CoRR abs/2502.09819 (2025)
[i64]
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Yuezhi Yang, Qimin Chen, Vladimir G. Kim, Siddhartha Chaudhuri, Qixing Huang, Zhiqin Chen:
GenVDM: Generating Vector Displacement Maps From a Single Image. CoRR abs/2503.00605 (2025)
[i63]
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Qimin Chen, Yuezhi Yang, Yifang Wang, Vladimir G. Kim, Siddhartha Chaudhuri, Hao (Richard) Zhang, Zhiqin Chen:
ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction. CoRR abs/2505.20431 (2025)
[i62]
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  - journals/corr/abs-2506-23388
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Crane He Chen, Vladimir G. Kim:
Escher Tile Deformation via Closed-Form Solution. CoRR abs/2506.23388 (2025)
[i61]
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  - journals/corr/abs-2508-21032
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Dale Decatur, Thibault Groueix, Wang Yifan, Rana Hanocka, Vladimir G. Kim, Matheus Gadelha:
Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets. CoRR abs/2508.21032 (2025)
[i60]
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  - journals/corr/abs-2510-14146
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Arman Maesumi, Tanish Makadia, Thibault Groueix, Vladimir G. Kim, Daniel Ritchie, Noam Aigerman:
PoissonNet: A Local-Global Approach for Learning on Surfaces. CoRR abs/2510.14146 (2025)
2024
[i59]
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  - journals/corr/abs-2402-16994
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Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. CoRR abs/2402.16994 (2024)
[i58]
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  - journals/corr/abs-2403-02460
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Amir Barda, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix:
MagicClay: Sculpting Meshes With Generative Neural Fields. CoRR abs/2403.02460 (2024)
[i57]
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  - journals/corr/abs-2404-02899
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Duygu Ceylan, Valentin Deschaintre, Thibault Groueix, Rosalie Martin, Chun-Hao Paul Huang, Romain Rouffet, Vladimir G. Kim, Gaëtan Lassagne:
MatAtlas: Text-driven Consistent Geometry Texturing and Material Assignment. CoRR abs/2404.02899 (2024)
[i56]
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  - journals/corr/abs-2404-16292
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Arman Maesumi, Dylan Hu, Krishi Saripalli, Vladimir G. Kim, Matthew Fisher, Sören Pirk, Daniel Ritchie:
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns. CoRR abs/2404.16292 (2024)
[i55]
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  - journals/corr/abs-2406-01592
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Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. CoRR abs/2406.01592 (2024)
[i54]
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  - journals/corr/abs-2407-14958
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Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
Temporal Residual Jacobians For Rig-free Motion Transfer. CoRR abs/2407.14958 (2024)
[i53]
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  - journals/corr/abs-2408-14899
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Hyunwoo Kim, Itai Lang, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, Rana Hanocka:
MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation. CoRR abs/2408.14899 (2024)
[i52]
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Chen Chen, Cuong Nguyen, Thibault Groueix, Vladimir G. Kim, Nadir Weibel:
MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback. CoRR abs/2409.06082 (2024)
[i51]
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Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. CoRR abs/2409.06129 (2024)
[i50]
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  - journals/corr/abs-2411-19322
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Michael Fischer, Iliyan Georgiev, Thibault Groueix, Vladimir G. Kim, Tobias Ritschel, Valentin Deschaintre:
SAMa: Material-aware 3D Selection and Segmentation. CoRR abs/2411.19322 (2024)
[i49]
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Amir Barda, Matheus Gadelha, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix:
Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects. CoRR abs/2412.00518 (2024)
2023
[i48]
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William Gao, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, Rana Hanocka:
TextDeformer: Geometry Manipulation using Text Guidance. CoRR abs/2304.13348 (2023)
[i47]
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  - journals/corr/abs-2306-03217
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Milin Kodnongbua, Benjamin T. Jones, Maaz Bin Safeer Ahmad, Vladimir G. Kim, Adriana Schulz:
Zero-shot CAD Program Re-Parameterization for Interactive Manipulation. CoRR abs/2306.03217 (2023)
[i46]
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Yun-Chun Chen, Vladimir G. Kim, Noam Aigerman, Alec Jacobson:
Neural Progressive Meshes. CoRR abs/2308.05741 (2023)
[i45]
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Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra:
Neural Semantic Surface Maps. CoRR abs/2309.04836 (2023)
[i44]
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  - journals/corr/abs-2310-07814
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Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie:
Explorable Mesh Deformation Subspaces from Unstructured Generative Models. CoRR abs/2310.07814 (2023)
[i43]
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  - journals/corr/abs-2311-16739
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Seungwoo Yoo, Kunho Kim, Vladimir G. Kim, Minhyuk Sung:
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors. CoRR abs/2311.16739 (2023)
2022
[i42]
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  - journals/corr/abs-2201-11945
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Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. CoRR abs/2201.11945 (2022)
[i41]
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Thomas W. Mitchel, Noam Aigerman, Vladimir G. Kim, Michael Kazhdan:
Möbius Convolutions for Spherical CNNs. CoRR abs/2201.12212 (2022)
[i40]
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  - journals/corr/abs-2204-02289
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Luca Morreale, Noam Aigerman, Paul Guerrero, Vladimir G. Kim, Niloy J. Mitra:
Neural Convolutional Surfaces. CoRR abs/2204.02289 (2022)
[i39]
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  - journals/corr/abs-2205-02904
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Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix:
Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes. CoRR abs/2205.02904 (2022)
[i38]
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  - journals/corr/abs-2206-06273
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Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry:
Learning Joint Surface Atlases. CoRR abs/2206.06273 (2022)
[i37]
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  - journals/corr/abs-2207-11790
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Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri:
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. CoRR abs/2207.11790 (2022)
[i36]
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Benjamin T. Jones, Michael Hu, Vladimir G. Kim, Adriana Schulz:
Self-Supervised Representation Learning for CAD. CoRR abs/2210.10807 (2022)
[i35]
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Richard Liu, Noam Aigerman, Vladimir G. Kim, Rana Hanocka:
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization. CoRR abs/2212.06344 (2022)
2021
[i34]
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Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas:
Joint Learning of 3D Shape Retrieval and Deformation. CoRR abs/2101.07889 (2021)
[i33]
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  - journals/corr/abs-2103-16942
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Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra:
Neural Surface Maps. CoRR abs/2103.16942 (2021)
[i32]
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Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan:
Field Convolutions for Surface CNNs. CoRR abs/2104.03916 (2021)
[i31]
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Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. CoRR abs/2104.06950 (2021)
[i30]
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  - journals/corr/abs-2105-12238
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Benjamin T. Jones, Dalton Hildreth, Duowen Chen, Ilya Baran, Vova Kim, Adriana Schulz:
SB-GCN: Structured BREP Graph Convolutional Network for Automatic Mating of CAD Assemblies. CoRR abs/2105.12238 (2021)
[i29]
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Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
GLASS: Geometric Latent Augmentation for Shape Spaces. CoRR abs/2108.03225 (2021)
[i28]
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  - journals/corr/abs-2111-06838
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Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases. CoRR abs/2111.06838 (2021)
[i27]
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Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie:
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts. CoRR abs/2112.00584 (2021)
2020
[i26]
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Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
Affinity Graph Supervision for Visual Recognition. CoRR abs/2003.09049 (2020)
[i25]
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  - journals/corr/abs-2003-12649
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Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi:
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. CoRR abs/2003.12649 (2020)
[i24]
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  - journals/corr/abs-2005-01819
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Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson:
Neural Subdivision. CoRR abs/2005.01819 (2020)
[i23]
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  - journals/corr/abs-2007-07238
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Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang:
Modeling Artistic Workflows for Image Generation and Editing. CoRR abs/2007.07238 (2020)
[i22]
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Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim:
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. CoRR abs/2007.10294 (2020)
[i21]
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Omid Poursaeed, Tianxing Jiang, Quintessa Qiao, Nayun Xu, Vladimir G. Kim:
Self-supervised Learning of Point Clouds via Orientation Estimation. CoRR abs/2008.00305 (2020)
[i20]
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Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR abs/2008.01936 (2020)
[i19]
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  - journals/corr/abs-2012-09159
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Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CoRR abs/2012.09159 (2020)
2019
[i18]
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Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey:
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CoRR abs/1903.08642 (2019)
[i17]
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Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions using Distance Fields. CoRR abs/1904.08921 (2019)
[i16]
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  - journals/corr/abs-1905-11498
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Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
FAN: Focused Attention Networks. CoRR abs/1905.11498 (2019)
[i15]
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  - journals/corr/abs-1907-03165
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Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Unsupervised cycle-consistent deformation for shape matching. CoRR abs/1907.03165 (2019)
[i14]
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Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. CoRR abs/1908.04725 (2019)
[i13]
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  - journals/corr/abs-1910-02060
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Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie:
Neural Puppet: Generative Layered Cartoon Characters. CoRR abs/1910.02060 (2019)
[i12]
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  - journals/corr/abs-1912-06395
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Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung:
Neural Cages for Detail-Preserving 3D Deformations. CoRR abs/1912.06395 (2019)
2018
[i11]
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Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. CoRR abs/1802.05384 (2018)
[i10]
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  - journals/corr/abs-1806-05228
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Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Shape correspondences from learnt template-based parametrization. CoRR abs/1806.05228 (2018)
[i9]
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Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, Leonidas J. Guibas:
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces. CoRR abs/1807.01519 (2018)
[i8]
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  - journals/corr/abs-1810-08729
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Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala:
Learning Material-Aware Local Descriptors for 3D Shapes. CoRR abs/1810.08729 (2018)
2017
[i7]
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Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer:
Learning Hierarchical Shape Segmentation and Labeling from Online Repositories. CoRR abs/1705.01661 (2017)
[i6]
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  - journals/corr/HuangKCCKY17
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Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, Ersin Yumer:
Learning local shape descriptors with view-based convolutional networks. CoRR abs/1706.04496 (2017)
[i5]
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Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas:
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling. CoRR abs/1708.01841 (2017)
[i4]
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  - journals/corr/abs-1708-06673
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Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri:
Tags2Parts: Discovering Semantic Regions from Shape Tags. CoRR abs/1708.06673 (2017)
[i3]
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  - journals/corr/abs-1710-10473
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Moos Hueting, Vladimir G. Kim, Ersin Yumer, Nathan Carr, Niloy J. Mitra:
SeeThrough: Finding Chairs in Heavily Occluded Indoor Scenes. CoRR abs/1710.10473 (2017)
[i2]
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  - journals/corr/abs-1712-00516
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Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. CoRR abs/1712.00516 (2017)
2015
[i1]
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  - journals/corr/XuKHK15
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Kai Xu, Vladimir G. Kim, Qixing Huang, Evangelos Kalogerakis:
Data-Driven Shape Analysis and Processing. CoRR abs/1502.06686 (2015)

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