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2020 – today
- 2023
[j42]Marc Habermann
, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
A Deeper Look into DeepCap (Invited Paper). IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4009-4022 (2023)- [c50]Aayush Bansal, Michael Zollhöfer:
Neural Pixel Composition for 3D-4D View Synthesis from Multi-Views. CVPR 2023: 290-299 - [c49]Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Chen Cao, Jason M. Saragih, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation. CVPR 2023: 8641-8651 - [c48]Benjamin Attal, Jia-Bin Huang, Christian Richardt, Michael Zollhöfer, Johannes Kopf, Matthew O'Toole, Changil Kim:
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling. CVPR 2023: 16610-16620 - [c47]Jason Lawrence, Ye Pan, Dan B. Goldman, Rachel McDonnell, Carol O'Sullivan, Dave Luebke, Koki Nagano, Michael Zollhöfer, Jason M. Saragih:
State of the Art in Telepresence (Part 1). SIGGRAPH Courses 2023: 17:1-17:132 - [i68]Benjamin Attal, Jia-Bin Huang, Christian Richardt, Michael Zollhöfer, Johannes Kopf, Matthew O'Toole, Changil Kim:
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling. CoRR abs/2301.02238 (2023) - [i67]Edith Tretschk, Vladislav Golyanik, Michael Zollhöfer, Aljaz Bozic, Christoph Lassner, Christian Theobalt:
SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes. CoRR abs/2308.08258 (2023) - [i66]Linjie Lyu, Ayush Tewari, Marc Habermann, Shunsuke Saito, Michael Zollhöfer, Thomas Leimkühler, Christian Theobalt:
Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering. CoRR abs/2310.00362 (2023) - [i65]Linning Xu, Vasu Agrawal, William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Aljaz Bozic, Dahua Lin, Michael Zollhöfer, Christian Richardt:
VR-NeRF: High-Fidelity Virtualized Walkable Spaces. CoRR abs/2311.02542 (2023) - [i64]Wojciech Zielonka, Timur M. Bagautdinov, Shunsuke Saito, Michael Zollhöfer, Justus Thies, Javier Romero:
Drivable 3D Gaussian Avatars. CoRR abs/2311.08581 (2023) - 2022
- [j41]Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik:
Advances in Neural Rendering. Comput. Graph. Forum 41(2): 703-735 (2022) - [j40]Chen Cao, Tomas Simon, Jin Kyu Kim, Gabe Schwartz, Michael Zollhöfer, Shunsuke Saito, Stephen Lombardi, Shih-En Wei, Danielle Belko, Shoou-I Yu, Yaser Sheikh, Jason M. Saragih:
Authentic volumetric avatars from a phone scan. ACM Trans. Graph. 41(4): 163:1-163:19 (2022) - [c46]Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard A. Newcombe, Zhaoyang Lv:
Neural 3D Video Synthesis from Multi-view Video. CVPR 2022: 5511-5521 - [c45]Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture. CVPR 2022: 6133-6144 - [c44]Marko Mihajlovic, Shunsuke Saito, Aayush Bansal, Michael Zollhöfer, Siyu Tang:
COAP: Compositional Articulated Occupancy of People. CVPR 2022: 13191-13200 - [c43]Fangyin Wei, Rohan Chabra, Lingni Ma, Christoph Lassner, Michael Zollhöfer, Szymon Rusinkiewicz, Chris Sweeney, Richard A. Newcombe, Mira Slavcheva:
Self-supervised Neural Articulated Shape and Appearance Models. CVPR 2022: 15795-15805 - [c42]Benjamin Attal, Jia-Bin Huang, Michael Zollhöfer, Johannes Kopf, Changil Kim:
Learning Neural Light Fields with Ray-Space Embedding. CVPR 2022: 19787-19797 - [c41]Marko Mihajlovic, Aayush Bansal, Michael Zollhöfer, Siyu Tang, Shunsuke Saito:
KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoints. ECCV (15) 2022: 179-197 - [c40]Ziqian Bai, Timur M. Bagautdinov, Javier Romero, Michael Zollhöfer, Ping Tan, Shunsuke Saito:
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling. ECCV (6) 2022: 222-239 - [c39]Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, Markus Steinberger:
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields. ECCV (17) 2022: 254-270 - [c38]Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner:
TAVA: Template-free Animatable Volumetric Actors. ECCV (32) 2022: 419-436 - [c37]Mohammad Keshavarzi, Michael Zollhöfer, Allen Y. Yang, Patrick Peluse, Luisa Caldas:
Synthesizing Novel Spaces for Remote Telepresence Experiences. ISMAR Adjunct 2022: 524-529 - [c36]Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam:
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception. Robotics: Science and Systems 2022 - [i63]Ziqian Bai, Timur M. Bagautdinov, Javier Romero, Michael Zollhöfer, Ping Tan, Shunsuke Saito:
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling. CoRR abs/2203.13817 (2022) - [i62]Mohammad Keshavarzi, Michael Zollhöfer, Allen Y. Yang, Patrick Peluse, Luisa Caldas:
Mutual Scene Synthesis for Mixed Reality Telepresence. CoRR abs/2204.00161 (2022) - [i61]Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam:
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception. CoRR abs/2204.02296 (2022) - [i60]Marko Mihajlovic, Shunsuke Saito, Aayush Bansal, Michael Zollhöfer, Siyu Tang:
COAP: Compositional Articulated Occupancy of People. CoRR abs/2204.06184 (2022) - [i59]Marko Mihajlovic, Aayush Bansal, Michael Zollhöfer, Siyu Tang, Shunsuke Saito:
KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints. CoRR abs/2205.04992 (2022) - [i58]Fangyin Wei, Rohan Chabra, Lingni Ma, Christoph Lassner, Michael Zollhöfer, Szymon Rusinkiewicz, Chris Sweeney, Richard A. Newcombe, Mira Slavcheva:
Self-supervised Neural Articulated Shape and Appearance Models. CoRR abs/2205.08525 (2022) - [i57]Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner:
TAVA: Template-free Animatable Volumetric Actors. CoRR abs/2206.08929 (2022) - [i56]Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, Markus Steinberger:
AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields. CoRR abs/2207.10312 (2022) - [i55]Aayush Bansal, Michael Zollhöfer:
Neural Pixel Composition: 3D-4D View Synthesis from Multi-Views. CoRR abs/2207.10663 (2022) - [i54]Marc Habermann, Lingjie Liu, Weipeng Xu, Gerard Pons-Moll, Michael Zollhöfer, Christian Theobalt:
HDHumans: A Hybrid Approach for High-fidelity Digital Humans. CoRR abs/2210.12003 (2022) - [i53]Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Chen Cao, Jason M. Saragih, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation. CoRR abs/2212.00613 (2022) - 2021
- [j39]Abhimitra Meka, Mohammad Shafiei, Michael Zollhöfer, Christian Richardt, Christian Theobalt:
Real-time Global Illumination Decomposition of Videos. ACM Trans. Graph. 40(3): 22:1-22:16 (2021) - [j38]Stephen Lombardi, Tomas Simon, Gabriel Schwartz, Michael Zollhöfer, Yaser Sheikh, Jason M. Saragih:
Mixture of volumetric primitives for efficient neural rendering. ACM Trans. Graph. 40(4): 59:1-59:13 (2021) - [j37]Marc Habermann, Lingjie Liu, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
Real-time deep dynamic characters. ACM Trans. Graph. 40(4): 94:1-94:16 (2021) - [j36]Michael Mara, Felix Heide, Michael Zollhöfer, Matthias Nießner, Pat Hanrahan:
Thallo - Scheduling for High-Performance Large-Scale Non-Linear Least-Squares Solvers. ACM Trans. Graph. 40(5): 184:1-184:14 (2021) - [j35]Lingjie Liu, Weipeng Xu, Marc Habermann, Michael Zollhöfer, Florian Bernard, Hyeongwoo Kim, Wenping Wang, Christian Theobalt:
Learning Dynamic Textures for Neural Rendering of Human Actors. IEEE Trans. Vis. Comput. Graph. 27(10): 4009-4022 (2021) - [c35]Christoph Lassner, Michael Zollhöfer:
Pulsar: Efficient Sphere-Based Neural Rendering. CVPR 2021: 1440-1449 - [c34]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner:
Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction. CVPR 2021: 1450-1459 - [c33]Ziyan Wang, Timur M. Bagautdinov, Stephen Lombardi, Tomas Simon, Jason M. Saragih, Jessica K. Hodgins, Michael Zollhöfer:
Learning Compositional Radiance Fields of Dynamic Human Heads. CVPR 2021: 5704-5713 - [c32]Guy Gafni, Justus Thies, Michael Zollhöfer, Matthias Nießner:
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction. CVPR 2021: 8649-8658 - [c31]Amit Raj, Michael Zollhöfer, Tomas Simon, Jason M. Saragih, Shunsuke Saito, James Hays, Stephen Lombardi:
Pixel-Aligned Volumetric Avatars. CVPR 2021: 11733-11742 - [c30]Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, Yaser Sheikh:
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement. ICCV 2021: 1153-1162 - [c29]Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, Christian Theobalt:
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video. ICCV 2021: 12939-12950 - [c28]Shih-Yang Su, Frank Yu, Michael Zollhöfer, Helge Rhodin:
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose. NeurIPS 2021: 12278-12291 - [c27]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, Lingjie Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer:
Advances in neural rendering. SIGGRAPH Courses 2021: 1:1-1:320 - [i52]Amit Raj, Michael Zollhöfer, Tomas Simon, Jason M. Saragih, Shunsuke Saito, James Hays, Stephen Lombardi:
PVA: Pixel-aligned Volumetric Avatars. CoRR abs/2101.02697 (2021) - [i51]Shih-Yang Su, Frank Yu, Michael Zollhöfer, Helge Rhodin:
A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering. CoRR abs/2102.06199 (2021) - [i50]Stephen Lombardi, Tomas Simon, Gabriel Schwartz, Michael Zollhöfer, Yaser Sheikh, Jason M. Saragih:
Mixture of Volumetric Primitives for Efficient Neural Rendering. CoRR abs/2103.01954 (2021) - [i49]Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Zhaoyang Lv:
Neural 3D Video Synthesis. CoRR abs/2103.02597 (2021) - [i48]Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, Yaser Sheikh:
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement. CoRR abs/2104.08223 (2021) - [i47]Marc Habermann, Lingjie Liu, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
Real-time Deep Dynamic Characters. CoRR abs/2105.01794 (2021) - [i46]Marc Habermann, Weipeng Xu, Helge Rhodin, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
NRST: Non-rigid Surface Tracking from Monocular Video. CoRR abs/2107.02407 (2021) - [i45]Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik:
Advances in Neural Rendering. CoRR abs/2111.05849 (2021) - [i44]Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
A Deeper Look into DeepCap. CoRR abs/2111.10563 (2021) - [i43]Benjamin Attal, Jia-Bin Huang, Michael Zollhöfer, Johannes Kopf, Changil Kim:
Learning Neural Light Fields with Ray-Space Embedding Networks. CoRR abs/2112.01523 (2021) - [i42]Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture. CoRR abs/2112.06904 (2021) - 2020
- [j34]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. Comput. Graph. Forum 39(2): 701-727 (2020) - [j33]Ayush Tewari, Michael Zollhöfer, Florian Bernard, Pablo Garrido, Hyeongwoo Kim, Patrick Pérez, Christian Theobalt:
High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 357-370 (2020) - [j32]Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhöfer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter:
3D Morphable Face Models - Past, Present, and Future. ACM Trans. Graph. 39(5): 157:1-157:38 (2020) - [j31]Ayush Tewari, Mohamed Elgharib, Mallikarjun B. R., Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
PIE: portrait image embedding for semantic control. ACM Trans. Graph. 39(6): 223:1-223:14 (2020) - [c26]Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
DeepCap: Monocular Human Performance Capture Using Weak Supervision. CVPR 2020: 5051-5062 - [c25]Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images. CVPR 2020: 6141-6150 - [c24]Aljaz Bozic, Michael Zollhöfer, Christian Theobalt, Matthias Nießner:
DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data. CVPR 2020: 7000-7010 - [c23]Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, Christian Theobalt:
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations. ECCV (16) 2020: 293-309 - [c22]Edgar Tretschk, Ayush Tewari, Michael Zollhöfer, Vladislav Golyanik, Christian Theobalt:
DEMEA: Deep Mesh Autoencoders for Non-rigidly Deforming Objects. ECCV (4) 2020: 601-617 - [c21]Justus Thies, Michael Zollhöfer, Christian Theobalt, Marc Stamminger, Matthias Nießner:
Image-guided Neural Object Rendering. ICLR 2020 - [c20]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Angela Dai, Justus Thies, Matthias Nießner:
Neural Non-Rigid Tracking. NeurIPS 2020 - [i41]Lingjie Liu, Weipeng Xu, Marc Habermann, Michael Zollhöfer, Florian Bernard, Hyeongwoo Kim, Wenping Wang, Christian Theobalt:
Neural Human Video Rendering: Joint Learning of Dynamic Textures and Rendering-to-Video Translation. CoRR abs/2001.04947 (2020) - [i40]Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
DeepCap: Monocular Human Performance Capture Using Weak Supervision. CoRR abs/2003.08325 (2020) - [i39]Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
StyleRig: Rigging StyleGAN for 3D Control over Portrait Images. CoRR abs/2004.00121 (2020) - [i38]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. CoRR abs/2004.03805 (2020) - [i37]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Angela Dai, Justus Thies, Matthias Nießner:
Neural Non-Rigid Tracking. CoRR abs/2006.13240 (2020) - [i36]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Face2Face: Real-time Face Capture and Reenactment of RGB Videos. CoRR abs/2007.14808 (2020) - [i35]Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, Christian Theobalt:
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations. CoRR abs/2008.01639 (2020) - [i34]Ayush Tewari, Mohamed Elgharib, Mallikarjun B. R., Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
PIE: Portrait Image Embedding for Semantic Control. CoRR abs/2009.09485 (2020) - [i33]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner:
Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction. CoRR abs/2012.01451 (2020) - [i32]Guy Gafni, Justus Thies, Michael Zollhöfer, Matthias Nießner:
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction. CoRR abs/2012.03065 (2020) - [i31]Ziyan Wang, Timur M. Bagautdinov, Stephen Lombardi, Tomas Simon, Jason M. Saragih, Jessica K. Hodgins, Michael Zollhöfer:
Learning Compositional Radiance Fields of Dynamic Human Heads. CoRR abs/2012.09955 (2020) - [i30]Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, Christian Theobalt:
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video. CoRR abs/2012.12247 (2020)
2010 – 2019
- 2019
- [j30]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Face2Face: real-time face capture and reenactment of RGB videos. Commun. ACM 62(1): 96-104 (2019) - [j29]Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
LiveCap: Real-Time Human Performance Capture From Monocular Video. ACM Trans. Graph. 38(2): 14:1-14:17 (2019) - [j28]Justus Thies, Michael Zollhöfer, Matthias Nießner:
Deferred neural rendering: image synthesis using neural textures. ACM Trans. Graph. 38(4): 66:1-66:12 (2019) - [j27]Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala:
Text-based editing of talking-head video. ACM Trans. Graph. 38(4): 68:1-68:14 (2019) - [j26]Abhimitra Meka, Christian Häne, Rohit Pandey, Michael Zollhöfer, Sean Ryan Fanello, Graham Fyffe, Adarsh Kowdle, Xueming Yu, Jay Busch, Jason Dourgarian, Peter Denny, Sofien Bouaziz, Peter Lincoln, Matt Whalen, Geoff Harvey, Jonathan Taylor, Shahram Izadi, Andrea Tagliasacchi, Paul E. Debevec, Christian Theobalt, Julien P. C. Valentin, Christoph Rhemann:
Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination. ACM Trans. Graph. 38(4): 77:1-77:12 (2019) - [j25]Lingjie Liu, Weipeng Xu, Michael Zollhöfer, Hyeongwoo Kim, Florian Bernard, Marc Habermann, Wenping Wang, Christian Theobalt:
Neural Rendering and Reenactment of Human Actor Videos. ACM Trans. Graph. 38(5): 139:1-139:14 (2019) - [j24]Hyeongwoo Kim, Mohamed Elgharib, Michael Zollhöfer, Hans-Peter Seidel, Thabo Beeler, Christian Richardt, Christian Theobalt:
Neural style-preserving visual dubbing. ACM Trans. Graph. 38(6): 178:1-178:13 (2019) - [j23]Weipeng Xu, Avishek Chatterjee, Michael Zollhöfer, Helge Rhodin, Pascal Fua, Hans-Peter Seidel, Christian Theobalt:
Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera. IEEE Trans. Vis. Comput. Graph. 25(5): 2093-2101 (2019) - [c19]Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer:
DeepVoxels: Learning Persistent 3D Feature Embeddings. CVPR 2019: 2437-2446 - [c18]Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
FML: Face Model Learning From Videos. CVPR 2019: 10812-10822 - [c17]Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein:
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. NeurIPS 2019: 1119-1130 - [i29]Michael Zollhöfer:
Commodity RGB-D Sensors: Data Acquisition. CoRR abs/1902.06835 (2019) - [i28]Justus Thies, Michael Zollhöfer, Matthias Nießner:
Deferred Neural Rendering: Image Synthesis using Neural Textures. CoRR abs/1904.12356 (2019) - [i27]Edgar Tretschk, Ayush Tewari, Michael Zollhöfer, Vladislav Golyanik, Christian Theobalt:
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects. CoRR abs/1905.10290 (2019) - [i26]Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala:
Text-based Editing of Talking-head Video. CoRR abs/1906.01524 (2019) - [i25]Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein:
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. CoRR abs/1906.01618 (2019) - [i24]Abhimitra Meka, Mohammad Shafiei, Michael Zollhöfer, Christian Richardt, Christian Theobalt:
Live Illumination Decomposition of Videos. CoRR abs/1908.01961 (2019) - [i23]Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhöfer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter:
3D Morphable Face Models - Past, Present and Future. CoRR abs/1909.01815 (2019) - [i22]Hyeongwoo Kim, Mohamed Elgharib, Michael Zollhöfer, Hans-Peter Seidel, Thabo Beeler, Christian Richardt, Christian Theobalt:
Neural Style-Preserving Visual Dubbing. CoRR abs/1909.02518 (2019) - [i21]Aljaz Bozic, Michael Zollhöfer, Christian Theobalt, Matthias Nießner:
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data. CoRR abs/1912.04302 (2019) - 2018
- [j22]Michael Zollhöfer, Justus Thies, Pablo Garrido, Derek Bradley, Thabo Beeler, Patrick Pérez, Marc Stamminger, Matthias Nießner, Christian Theobalt:
State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications. Comput. Graph. Forum 37(2): 523-550 (2018) - [j21]Michael Zollhöfer, Patrick Stotko, Andreas Görlitz, Christian Theobalt, Matthias Nießner, Reinhard Klein, Andreas Kolb:
State of the Art on 3D Reconstruction with RGB-D Cameras. Comput. Graph. Forum 37(2): 625-652 (2018) - [j20]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
FaceVR: Real-Time Gaze-Aware Facial Reenactment in Virtual Reality. ACM Trans. Graph. 37(2): 25 (2018) - [j19]Weipeng Xu, Avishek Chatterjee, Michael Zollhöfer, Helge Rhodin, Dushyant Mehta, Hans-Peter Seidel, Christian Theobalt:
MonoPerfCap: Human Performance Capture From Monocular Video. ACM Trans. Graph. 37(2): 27 (2018) - [j18]Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, Christian Theobalt:
Deep video portraits. ACM Trans. Graph. 37(4): 163 (2018) - [j17]Justus Thies, Michael Zollhöfer, Christian Theobalt, Marc Stamminger, Matthias Nießner:
Headon: real-time reenactment of human portrait videos. ACM Trans. Graph. 37(4): 164 (2018) - [c16]Ayush Tewari, Michael Zollhöfer, Pablo Garrido, Florian Bernard, Hyeongwoo Kim, Patrick Pérez, Christian Theobalt:
Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz. CVPR 2018: 2549-2559 - [c15]Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari, Justus Thies, Christian Richardt, Christian Theobalt:
InverseFaceNet: Deep Monocular Inverse Face Rendering. CVPR 2018: 4625-4634 - [c14]Abhimitra Meka, Maxim Maximov, Michael Zollhöfer, Avishek Chatterjee, Hans-Peter Seidel, Christian Richardt, Christian Theobalt:
LIME: Live Intrinsic Material Estimation. CVPR 2018: 6315-6324 - [c13]Marc Habermann, Weipeng Xu, Helge Rhodin, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
NRST: Non-rigid Surface Tracking from Monocular Video. GCPR 2018: 335-348 - [i20]