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Alexander W. Bergman
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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
18792020
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
792022
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
472023
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
432020
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
392022
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
362021
GeNVS: Generative novel view synthesis with 3D-aware diffusion models
ER Chan, K Nagano, MA Chan, AW Bergman, JJ Park, A Levy, M Aittala, ...
arXiv, 2023
282023
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
122020
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
52024
Articulated 3d head avatar generation using text-to-image diffusion models
AW Bergman, W Yifan, G Wetzstein
arXiv preprint arXiv:2307.04859, 2023
42023
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
32023
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
22023
Optimal data shaping code design
Y Liu, P Huang, AW Bergman, PH Siegel
Proc. 9th Annu. Non-Volatile Memories Workshop (NVMW), 1-35, 2018
22018
Factorized Convolution Kernels in Image Processing
AW Bergman, DB Lindell
Stanford University: Stanford, CA, USA, 2019
12019
Learning Priors for Neural Scene Representations
AW Bergman
Stanford University, 2023
2023
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
Generative Neural Articulated Radiance Fields–Supplementary Document–
AW Bergman, P Kellnhofer, W Yifan, ER Chan, DB Lindell, G Wetzstein
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