关注
Alexander W. Bergman
Alexander W. Bergman
在 stanford.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
21822020
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
1362023
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
1012022
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
512022
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
442020
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
402021
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
152020
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
82024
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
82023
Articulated 3d head avatar generation using text-to-image diffusion models
AW Bergman, W Yifan, G Wetzstein
arXiv preprint arXiv:2307.04859, 2023
72023
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
42023
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
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
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