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ORCIDGordon Wetzstein
Person information
- affiliation: Stanford University, CA, USA
- affiliation (former): MIT, Cambridge, MA, USA
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2020 – today
- 2023
[j61]Brooke Krajancich
, Petr Kellnhofer, Gordon Wetzstein:
Towards Attention-aware Foveated Rendering. ACM Trans. Graph. 42(4): 77:1-77:10 (2023)- [j60]Christoph Ebner, Peter Mohr, Tobias Langlotz, Yifan Peng, Dieter Schmalstieg, Gordon Wetzstein, Denis Kalkofen:
Off-Axis Layered Displays: Hybrid Direct-View/Near-Eye Mixed Reality with Focus Cues. IEEE Trans. Vis. Comput. Graph. 29(5): 2816-2825 (2023) - [c106]Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi:
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. CVPR 2023: 259-270 - [c105]Minjung Son, Jeong Joon Park, Leonidas J. Guibas, Gordon Wetzstein:
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene. CVPR 2023: 8507-8517 - [c104]Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, Kalyan Sunkavalli:
PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields. CVPR 2023: 20691-20700 - [c103]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation Using Triplane Diffusion. CVPR 2023: 20875-20886 - [c102]Yufeng Zheng, Wang Yifan, Gordon Wetzstein, Michael J. Black, Otmar Hilliges:
PointAvatar: Deformable Point-Based Head Avatars from Videos. CVPR 2023: 21057-21067 - [c101]Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec:
Learning Controllable Adaptive Simulation for Multi-resolution Physics. ICLR 2023 - [c100]Suyeon Choi, Manu Gopakumar, Brian Chao, Gun-Yeal Lee, Jonghyun Kim, Gordon Wetzstein:
Neural Holographic Near-eye Displays for Virtual Reality. SIGGRAPH Emerging Technologies 2023: 12:1-12:2 - [c99]Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis:
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. SIGGRAPH (Conference Paper Track) 2023: 83:1-83:12 - [i69]Brooke Krajancich, Petr Kellnhofer, Gordon Wetzstein:
Towards Attention-aware Rendering for Virtual and Augmented Reality. CoRR abs/2302.01368 (2023) - [i68]Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein:
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition. CoRR abs/2303.04291 (2023) - [i67]Axel Levy, Mark J. Matthews, Matan Sela, Gordon Wetzstein, Dmitry Lagun:
MELON: NeRF with Unposed Images Using Equivalence Class Estimation. CoRR abs/2303.08096 (2023) - [i66]Wei-Ting Chen, Yifan Wang, Sy-Yen Kuo, Gordon Wetzstein:
DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields. CoRR abs/2303.11364 (2023) - [i65]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi:
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. CoRR abs/2303.12074 (2023) - [i64]Ryan Po, Gordon Wetzstein:
Compositional 3D Scene Generation using Locally Conditioned Diffusion. CoRR abs/2303.12218 (2023) - [i63]Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein:
Generative Novel View Synthesis with 3D-Aware Diffusion Models. CoRR abs/2304.02602 (2023) - [i62]Haley M. So, Laurie Bose, Piotr Dudek, Gordon Wetzstein:
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors. CoRR abs/2304.05440 (2023) - [i61]Boyang Deng, Yifan Wang, Gordon Wetzstein:
LumiGAN: Unconditional Generation of Relightable 3D Human Faces. CoRR abs/2304.13153 (2023) - [i60]Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec:
Learning Controllable Adaptive Simulation for Multi-resolution Physics. CoRR abs/2305.01122 (2023) - [i59]Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis:
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. CoRR abs/2305.03043 (2023) - [i58]Alexander W. Bergman, Yifan Wang, Gordon Wetzstein:
Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models. CoRR abs/2307.04859 (2023) - [i57]Yinghao Xu, Wang Yifan, Alexander W. Bergman, Menglei Chai, Bolei Zhou, Gordon Wetzstein:
Efficient 3D Articulated Human Generation with Layered Surface Volumes. CoRR abs/2307.05462 (2023) - [i56]Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas:
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. CoRR abs/2307.15055 (2023) - [i55]Ryan Po, Zhengyang Dong, Alexander W. Bergman, Gordon Wetzstein:
Instant Continual Learning of Neural Radiance Fields. CoRR abs/2309.01811 (2023) - 2022
- [j59]Luke Hsiao, Brooke Krajancich, Philip Alexander Levis, Gordon Wetzstein, Keith Winstein:
Towards retina-quality VR video streaming: 15ms could save you 80% of your bandwidth. Comput. Commun. Rev. 52(1): 10-19 (2022) - [j58]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) - [j57]Daniel Martin, Ana Serrano, Alexander W. Bergman, Gordon Wetzstein, Belén Masiá:
ScanGAN360: A Generative Model of Realistic Scanpaths for 360° Images. IEEE Trans. Vis. Comput. Graph. 28(5): 2003-2013 (2022) - [j56]Christoph Ebner, Shohei Mori, Peter Mohr, Yifan Peng, Dieter Schmalstieg, Gordon Wetzstein, Denis Kalkofen:
Video See-Through Mixed Reality with Focus Cues. IEEE Trans. Vis. Comput. Graph. 28(5): 2256-2266 (2022) - [c98]Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein:
Efficient Geometry-aware 3D Generative Adversarial Networks. CVPR 2022: 16102-16112 - [c97]David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein:
Bacon: Band-limited Coordinate Networks for Multiscale Scene Representation. CVPR 2022: 16231-16241 - [c96]Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein:
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. ECCV (21) 2022: 540-557 - [c95]Cindy M. Nguyen, Julien N. P. Martel, Gordon Wetzstein:
Learning Spatially Varying Pixel Exposures for Motion Deblurring. ICCP 2022: 1-11 - [c94]Haley M. So, Julien N. P. Martel, Gordon Wetzstein, Piotr Dudek:
MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding. ICCP 2022: 1-12 - [c93]Qingqing Zhao, David B. Lindell, Gordon Wetzstein:
Learning to Solve PDE-constrained Inverse Problems with Graph Networks. ICML 2022: 26895-26910 - [c92]Alexander W. Bergman, Petr Kellnhofer, Yifan Wang, Eric R. Chan, David B. Lindell, Gordon Wetzstein:
Generative Neural Articulated Radiance Fields. NeurIPS 2022 - [c91]Axel Levy, Gordon Wetzstein, Julien N. P. Martel, Frédéric Poitevin, Ellen D. Zhong:
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM. NeurIPS 2022 - [c90]Connor Z. Lin, Niloy J. Mitra, Gordon Wetzstein, Leonidas J. Guibas, Paul Guerrero:
NeuForm: Adaptive Overfitting for Neural Shape Editing. NeurIPS 2022 - [c89]Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Matthew O'Toole, Gordon Wetzstein:
Time-multiplexed Neural Holography: A Flexible Framework for Holographic Near-eye Displays with Fast Heavily-quantized Spatial Light Modulators. SIGGRAPH (Conference Paper Track) 2022: 32:1-32:9 - [c88]Jonghyun Kim, Manu Gopakumar, Suyeon Choi, Yifan Peng, Ward Lopes, Gordon Wetzstein:
Holographic Glasses for Virtual Reality. SIGGRAPH (Conference Paper Track) 2022: 33:1-33:9 - [i54]Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein:
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. CoRR abs/2203.08138 (2022) - [i53]Connor Z. Lin, David B. Lindell, Eric R. Chan, Gordon Wetzstein:
3D GAN Inversion for Controllable Portrait Image Animation. CoRR abs/2203.13441 (2022) - [i52]Cindy M. Nguyen, Julien N. P. Martel, Gordon Wetzstein:
Learning Spatially Varying Pixel Exposures for Motion Deblurring. CoRR abs/2204.07267 (2022) - [i51]Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Matthew O'Toole, Gordon Wetzstein:
Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators. CoRR abs/2205.02367 (2022) - [i50]Qingqing Zhao, David B. Lindell, Gordon Wetzstein:
Learning to Solve PDE-constrained Inverse Problems with Graph Networks. CoRR abs/2206.00711 (2022) - [i49]Alexander W. Bergman, Petr Kellnhofer, Yifan Wang, Eric R. Chan, David B. Lindell, Gordon Wetzstein:
Generative Neural Articulated Radiance Fields. CoRR abs/2206.14314 (2022) - [i48]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. CoRR abs/2206.14797 (2022) - [i47]Connor Z. Lin, Niloy J. Mitra, Gordon Wetzstein, Leonidas J. Guibas, Paul Guerrero:
NeuForm: Adaptive Overfitting for Neural Shape Editing. CoRR abs/2207.08890 (2022) - [i46]Youssef S. G. Nashed, Ariana Peck, Julien N. P. Martel, Axel Levy, Bongjin Koo, Gordon Wetzstein, Nina Miolane, Daniel Ratner, Frédéric Poitevin:
Heterogeneous reconstruction of deformable atomic models in Cryo-EM. CoRR abs/2209.15121 (2022) - [i45]Axel Levy, Gordon Wetzstein, Julien N. P. Martel, Frédéric Poitevin, Ellen D. Zhong:
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM. CoRR abs/2210.07387 (2022) - [i44]Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler, Arjun D. Desai, Christian Bluethgen, Robert D. Boutin, Marc H. Willis, Gordon Wetzstein, David B. Lindell, Shreyas Vasanawala, John M. Pauly, Akshay S. Chaudhari:
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. CoRR abs/2210.08676 (2022) - [i43]Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models. CoRR abs/2211.12131 (2022) - [i42]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation using Triplane Diffusion. CoRR abs/2211.16677 (2022) - [i41]Minjung Son, Jeong Joon Park, Leonidas J. Guibas, Gordon Wetzstein:
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene. CoRR abs/2211.17260 (2022) - [i40]Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi:
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. CoRR abs/2212.04096 (2022) - [i39]Yufeng Zheng, Yifan Wang, Gordon Wetzstein, Michael J. Black, Otmar Hilliges:
PointAvatar: Deformable Point-based Head Avatars from Videos. CoRR abs/2212.08377 (2022) - [i38]Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, Kalyan Sunkavalli:
PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields. CoRR abs/2212.10699 (2022) - 2021
- [j55]Christopher A. Metzler, David B. Lindell, Gordon Wetzstein:
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path. IEEE Trans. Computational Imaging 7: 1-12 (2021) - [j54]Steven Diamond, Vincent Sitzmann, Frank D. Julca-Aguilar, Stephen P. Boyd, Gordon Wetzstein, Felix Heide:
Dirty Pixels: Towards End-to-end Image Processing and Perception. ACM Trans. Graph. 40(3): 23:1-23:15 (2021) - [j53]Brooke Krajancich, Petr Kellnhofer, Gordon Wetzstein:
A perceptual model for eccentricity-dependent spatio-temporal flicker fusion and its applications to foveated graphics. ACM Trans. Graph. 40(4): 47:1-47:11 (2021) - [j52]Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein:
Acorn: adaptive coordinate networks for neural scene representation. ACM Trans. Graph. 40(4): 58:1-58:13 (2021) - [j51]Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Gordon Wetzstein:
Neural 3D holography: learning accurate wave propagation models for 3D holographic virtual and augmented reality displays. ACM Trans. Graph. 40(6): 240:1-240:12 (2021) - [j50]Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein:
Event-Based Near-Eye Gaze Tracking Beyond 10, 000 Hz. IEEE Trans. Vis. Comput. Graph. 27(5): 2577-2586 (2021) - [c87]Petr Kellnhofer, Lars Jebe, Andrew Jones, Ryan Spicer, Kari Pulli, Gordon Wetzstein:
Neural Lumigraph Rendering. CVPR 2021: 4287-4297 - [c86]Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein:
Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. CVPR 2021: 5799-5809 - [c85]David B. Lindell, Julien N. P. Martel, Gordon Wetzstein:
AutoInt: Automatic Integration for Fast Neural Volume Rendering. CVPR 2021: 14556-14565 - [c84]Christopher A. Metzler, Gordon Wetzstein:
Deep S3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models. ICASSP 2021: 1370-1374 - [c83]Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein:
Suremap: Predicting Uncertainty in Cnn-Based Image Reconstructions Using Stein's Unbiased Risk Estimate. ICASSP 2021: 1385-1389 - [c82]Christopher A. Metzler, Gordon Wetzstein:
D-VDAMP: Denoising-Based Approximate Message Passing for Compressive MRI. ICASSP 2021: 1410-1414 - [c81]Hayato Ikoma, Cindy M. Nguyen, Christopher A. Metzler, Yifan Peng, Gordon Wetzstein:
Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation. ICCP 2021: 1-12 - [c80]Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, Min H. Kim:
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics. ICCV 2021: 2631-2640 - [c79]Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein, Henry Arguello:
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems. ICCV 2021: 2672-2682 - [c78]Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzstein:
Fast Training of Neural Lumigraph Representations using Meta Learning. NeurIPS 2021: 172-186 - [c77]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 - [i37]Petr Kellnhofer, Lars Jebe, Andrew Jones, Ryan Spicer, Kari Pulli, Gordon Wetzstein:
Neural Lumigraph Rendering. CoRR abs/2103.11571 (2021) - [i36]Daniel Martin, Ana Serrano, Alexander W. Bergman, Gordon Wetzstein, Belén Masiá:
ScanGAN360: A Generative Model of Realistic Scanpaths for 360$^{\circ}$ Images. CoRR abs/2103.13922 (2021) - [i35]Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein, Henry Arguello:
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems. CoRR abs/2104.02820 (2021) - [i34]Brooke Krajancich, Petr Kellnhofer, Gordon Wetzstein:
A Perceptual Model for Eccentricity-dependent Spatio-temporal Flicker Fusion and its Applications to Foveated Graphics. CoRR abs/2104.13514 (2021) - [i33]Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein:
ACORN: Adaptive Coordinate Networks for Neural Scene Representation. CoRR abs/2105.02788 (2021) - [i32]Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzstein:
Fast Training of Neural Lumigraph Representations using Meta Learning. CoRR abs/2106.14942 (2021) - [i31]Luke Hsiao, Brooke Krajancich, Philip Alexander Levis, Gordon Wetzstein, Keith Winstein:
Towards Retina-Quality VR Video Streaming: 15ms Could Save You 80% of Your Bandwidth. CoRR abs/2108.12720 (2021) - [i30]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) - [i29]David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein:
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation. CoRR abs/2112.04645 (2021) - [i28]Haley M. So, Julien N. P. Martel, Piotr Dudek, Gordon Wetzstein:
MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding. CoRR abs/2112.05221 (2021) - [i27]Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein:
Efficient Geometry-aware 3D Generative Adversarial Networks. CoRR abs/2112.07945 (2021) - 2020
- [j49]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) - [j48]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Piotr Dudek, Gordon Wetzstein:
Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1642-1653 (2020) - [j47]Hanseul Jun, Jeremy N. Bailenson, Henry Fuchs, Gordon Wetzstein:
An Easy-to-Use Pipeline for an RGBD Camera and an AR Headset. Presence Teleoperators Virtual Environ. 27(2): 202-205 (2020) - [j46]Robert Konrad, Anastasios Angelopoulos, Gordon Wetzstein:
Gaze-Contingent Ocular Parallax Rendering for Virtual Reality. ACM Trans. Graph. 39(2): 10:1-10:12 (2020) - [j45]Yifan Peng, Suyeon Choi, Nitish Padmanaban, Gordon Wetzstein:
Neural holography with camera-in-the-loop training. ACM Trans. Graph. 39(6): 185:1-185:14 (2020) - [j44]Quan Zheng, Vahid Babaei, Gordon Wetzstein, Hans-Peter Seidel, Matthias Zwicker, Gurprit Singh:
Neural light field 3D printing. ACM Trans. Graph. 39(6): 207:1-207:12 (2020) - [j43]Brooke Krajancich, Petr Kellnhofer, Gordon Wetzstein:
Optimizing depth perception in virtual and augmented reality through gaze-contingent stereo rendering. ACM Trans. Graph. 39(6): 269:1-269:10 (2020) - [j42]Brooke Krajancich, Nitish Padmanaban, Gordon Wetzstein:
Factored Occlusion: Single Spatial Light Modulator Occlusion-capable Optical See-through Augmented Reality Display. IEEE Trans. Vis. Comput. Graph. 26(5): 1871-1879 (2020) - [c76]Amit Pal Singh Kohli, Vincent Sitzmann, Gordon Wetzstein:
Semantic Implicit Neural Scene Representations With Semi-Supervised Training. 3DV 2020: 423-433 - [c75]Gordon Wetzstein, Hayato Ikoma, Christopher A. Metzler, Yifan Peng:
Deep Optics: Learning Cameras and Optical Computing Systems. ACSSC 2020: 1313-1315 - [c74]Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-Shot High-Dynamic-Range Imaging. CVPR 2020: 1372-1382 - [c73]Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein:
Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform. CVPR 2020: 1404-1413 - [c72]Mark Nishimura, David B. Lindell, Christopher A. Metzler, Gordon Wetzstein:
Disambiguating Monocular Depth Estimation with a Single Transient. ECCV (21) 2020: 139-155 - [c71]Alexander W. Bergman, David B. Lindell, Gordon Wetzstein:
Deep Adaptive LiDAR: End-to-end Optimization of Sampling and Depth Completion at Low Sampling Rates. ICCP 2020: 1-11 - [c70]Supriya Sathyanarayana, Christoph Leuze, Brian A. Hargreaves, Bruce L. Daniel, Gordon Wetzstein, Amit Etkin, Mahendra T. Bhati, Jennifer A. McNab:
Comparison of head pose tracking methods for mixed-reality neuronavigation for transcranial magnetic stimulation. Medical Imaging: Image-Guided Procedures 2020: 113150L - [c69]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS 2020 - [c68]Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein:
Implicit Neural Representations with Periodic Activation Functions. NeurIPS 2020 - [c67]Yifan (Evan) Peng, Ashok Veeraraghavan, Wolfgang Heidrich, Gordon Wetzstein:
Deep optics: joint design of optics and image recovery algorithms for domain specific cameras. SIGGRAPH Courses 2020: 7:1-7:133 - [c66]Yifan Peng, Suyeon Choi, Nitish Padmanaban, Jonghyun Kim, Gordon Wetzstein:
Neural Holography. SIGGRAPH Emerging Technologies 2020: 8:1-8:2 - [p2]Christian Richardt, James Tompkin, Gordon Wetzstein:
Capture, Reconstruction, and Representation of the Visual Real World for Virtual Reality. Real VR 2020: 3-32 - [p1]Gordon Wetzstein, Anjul Patney, Qi Sun:
State of the Art in Perceptual VR Displays. Real VR 2020: 221-243 - [i26]Christopher A. Metzler, Gordon Wetzstein:
Deep S3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models. CoRR abs/2002.05856 (2020) - [i25]Amit P. S. Kohli, Vincent Sitzmann, Gordon Wetzstein:
Inferring Semantic Information with 3D Neural Scene Representations. CoRR abs/2003.12673 (2020) - [i24]Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein:
Event Based, Near Eye Gaze Tracking Beyond 10, 000Hz. CoRR abs/2004.03577 (2020) - [i23]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) - [i22]Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein:
Implicit Neural Representations with Periodic Activation Functions. CoRR abs/2006.09661 (2020) - [i21]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-learning Signed Distance Functions. CoRR abs/2006.09662 (2020) - [i20]Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, Min H. Kim:
End-to-End Hyperspectral-Depth Imaging with Learned Diffractive Optics. CoRR abs/2009.00463 (2020) - [i19]Suyeon Choi, Jonghyun Kim, Yifan Peng, Gordon Wetzstein:
Michelson Holography: Dual-SLM Holography with Camera-in-the-loop Optimization. CoRR abs/2009.09302 (2020) - [i18]Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein:
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