| 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 | 1454 | 2020 |
| 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 | 38 | 2020 |
| 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 | 37 | 2022 |
| 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 | 32 | 2021 |
| 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 | 27 | 2022 |
| 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 | 12 | 2020 |
| Generative novel view synthesis with 3d-aware diffusion models ER Chan, K Nagano, MA Chan, AW Bergman, JJ Park, A Levy, M Aittala, ... arXiv preprint arXiv:2304.02602, 2023 | 8 | 2023 |
| Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition CM Nguyen, ER Chan, AW Bergman, G Wetzstein arXiv preprint arXiv:2303.04291, 2023 | 2 | 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 |
| Instant Continual Learning of Neural Radiance Fields R Po, Z Dong, AW Bergman, G Wetzstein arXiv preprint arXiv:2309.01811, 2023 | | 2023 |
| 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 | | 2023 |
| Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models AW Bergman, W Yifan, G Wetzstein arXiv preprint arXiv:2307.04859, 2023 | | 2023 |
| Fast Training of Neural Lumigraph Representations using Meta-learning–Supplementary Document– AW Bergman, P Kellnhofer, G Wetzstein | | |
| Generative Neural Articulated Radiance Fields–Supplementary Document– AW Bergman, P Kellnhofer, W Yifan, ER Chan, DB Lindell, G Wetzstein | | |
Gordon WetzsteinStanford University, Electrical Engineering DepartmentVerified email at stanford.edu
