Alexander W. Bergman

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Text Recognition

Diffusion Models

Top Venues

IEEE Trans. Inf. Theory

Publications

Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition. WACV (2024)
Yinghao Xu, Wang Yifan, Alexander W. Bergman, Menglei Chai, Bolei Zhou, Gordon Wetzstein
Efficient 3D Articulated Human Generation with Layered Surface Volumes. 3DV (2024)
Yinghao Xu, Wang Yifan, Alexander W. Bergman, Menglei Chai, Bolei Zhou, Gordon Wetzstein
Efficient 3D Articulated Human Generation with Layered Surface Volumes. CoRR (2023)
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 (2023)
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. ICCV (2023)
Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition. CoRR (2023)
Alexander W. Bergman, Yifan Wang, Gordon Wetzstein
Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models. CoRR (2023)
Ryan Po, Zhengyang Dong, Alexander W. Bergman, Gordon Wetzstein
Instant Continual Learning of Neural Radiance Fields. CoRR (2023)
Ryan Po, Zhengyang Dong, Alexander W. Bergman, Gordon Wetzstein
Instant Continual Learning of Neural Radiance Fields. ICCV (Workshops) (2023)
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) (2022)
Alexander W. Bergman, Petr Kellnhofer, Yifan Wang, Eric R. Chan, David B. Lindell, Gordon Wetzstein
Generative Neural Articulated Radiance Fields. CoRR (2022)
Alexander W. Bergman, Petr Kellnhofer, Yifan Wang, Eric R. Chan, David B. Lindell, Gordon Wetzstein
Generative Neural Articulated Radiance Fields. NeurIPS (2022)
Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzstein
Fast Training of Neural Lumigraph Representations using Meta Learning. NeurIPS (2021)
Daniel Martin, Ana Serrano, Alexander W. Bergman, Gordon Wetzstein, Belén Masiá
ScanGAN360: A Generative Model of Realistic Scanpaths for 360$^{\circ}$ Images. CoRR (2021)
Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzstein
Fast Training of Neural Lumigraph Representations using Meta Learning. CoRR (2021)
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein
Implicit Neural Representations with Periodic Activation Functions. NeurIPS (2020)
Yi Liu, Pengfei Huang, Alexander W. Bergman, Paul H. Siegel
Rate-Constrained Shaping Codes for Structured Sources. IEEE Trans. Inf. Theory 66 (8) (2020)
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)
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein
Implicit Neural Representations with Periodic Activation Functions. CoRR (2020)
Yi Liu, Pengfei Huang, Alexander W. Bergman, Paul H. Siegel
Rate-Constrained Shaping Codes for Structured Sources. CoRR (2020)