| Implicit neural representations with periodic activation functions V Sitzmann, J Martel, A Bergman, D Lindell, G Wetzstein Advances in neural information processing systems 33, 7462-7473, 2020 | 2182 | 2020 |
| Generative novel view synthesis with 3d-aware diffusion models ER Chan, K Nagano, MA Chan, AW Bergman, JJ Park, A Levy, M Aittala, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 136 | 2023 |
| Generative neural articulated radiance fields A Bergman, P Kellnhofer, W Yifan, E Chan, D Lindell, G Wetzstein Advances in Neural Information Processing Systems 35, 19900-19916, 2022 | 101 | 2022 |
| Scangan360: A generative model of realistic scanpaths for 360 images D Martin, A Serrano, AW Bergman, G Wetzstein, B Masia IEEE Transactions on Visualization and Computer Graphics 28 (5), 2003-2013, 2022 | 51 | 2022 |
| Deep adaptive lidar: End-to-end optimization of sampling and depth completion at low sampling rates AW Bergman, DB Lindell, G Wetzstein 2020 IEEE international conference on computational photography (ICCP), 1-11, 2020 | 44 | 2020 |
| Fast training of neural lumigraph representations using meta learning A Bergman, P Kellnhofer, G Wetzstein Advances in Neural Information Processing Systems 34, 172-186, 2021 | 40 | 2021 |
| Rate-constrained shaping codes for structured sources Y Liu, P Huang, AW Bergman, PH Siegel IEEE Transactions on Information Theory 66 (8), 5261-5281, 2020 | 15 | 2020 |
| Diffusion in the dark: A diffusion model for low-light text recognition CM Nguyen, ER Chan, AW Bergman, G Wetzstein Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 8 | 2024 |
| Efficient 3d articulated human generation with layered surface volumes Y Xu, W Yifan, AW Bergman, M Chai, B Zhou, G Wetzstein arXiv preprint arXiv:2307.05462, 2023 | 8 | 2023 |
| Articulated 3d head avatar generation using text-to-image diffusion models AW Bergman, W Yifan, G Wetzstein arXiv preprint arXiv:2307.04859, 2023 | 7 | 2023 |
| Instant continual learning of neural radiance fields R Po, Z Dong, AW Bergman, G Wetzstein Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Optimal data shaping code design Y Liu, P Huang, AW Bergman, PH Siegel Proc. 9th Annu. Non-Volatile Memories Workshop (NVMW), 1-35, 2018 | 2 | 2018 |
| Factorized Convolution Kernels in Image Processing AW Bergman, DB Lindell Stanford University: Stanford, CA, USA, 2019 | 1 | 2019 |
| Learning Priors for Neural Scene Representations AW Bergman Stanford University, 2023 | | 2023 |
| Abhishek Sharma, Ecole Polytechnique, France Adam Harley, Carnegie Mellon University, USA Ahmed AA Osman, Max Planck Institute For Intelligent Systems, Germany Akihito Seki … A Caliskan, A Bokhovkin, A Tonioni, AW Bergman, A Artemov, A Bourki, ... | | |
| Bickel, Bernd 1082 L Agapito, S Agrawal, S Ainetter, E Aksan, F Ali, SS Ali, D Antić, L Antsfeld, ... | | |
| Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition Supplemental Material CM Nguyen, ER Chan, AW Bergman, G Wetzstein | | |
| Instant Continual Learning of Neural Radiance Fields-Supplementary Materials R Po, Z Dong, AW Bergman, G Wetzstein | | |
| Supplemental Material Generative Novel View Synthesis with 3D-Aware Diffusion Models ER Chan, K Nagano, MA Chan, AW Bergman, J Joon | | |
| Fast Training of Neural Lumigraph Representations using Meta-learning–Supplementary Document– AW Bergman, P Kellnhofer, G Wetzstein | | |
Gordon WetzsteinStanford University在 stanford.edu 的电子邮件经过验证
