Alexander W. Bergman

According to our database, Alexander W. Bergman authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition.

Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Efficient 3D Articulated Human Generation with Layered Surface Volumes.

Yinghao Xu, Wang Yifan, Alexander W. Bergman, Menglei Chai, Bolei Zhou, Gordon Wetzstein

CoRR, 2023

Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models.

Alexander W. Bergman, Yifan Wang, Gordon Wetzstein

CoRR, 2023

Instant Continual Learning of Neural Radiance Fields.

Ryan Po, Zhengyang Dong, Alexander W. Bergman, Gordon Wetzstein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generative Novel View Synthesis with 3D-Aware Diffusion Models.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ScanGAN360: A Generative Model of Realistic Scanpaths for 360° Images.

Daniel Martin, Ana Serrano, Alexander W. Bergman, Gordon Wetzstein, Belén Masiá

IEEE Trans. Vis. Comput. Graph., 2022

Generative Neural Articulated Radiance Fields.

Alexander W. Bergman, Petr Kellnhofer, Yifan Wang, Eric R. Chan, David B. Lindell, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

ScanGAN360: A Generative Model of Realistic Scanpaths for 360$^{\circ}$ Images.

Daniel Martin, Ana Serrano, Alexander W. Bergman, Gordon Wetzstein, Belén Masiá

CoRR, 2021

Fast Training of Neural Lumigraph Representations using Meta Learning.

Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Rate-Constrained Shaping Codes for Structured Sources.

Yi Liu, Pengfei Huang, Alexander W. Bergman, Paul H. Siegel

IEEE Trans. Inf. Theory, 2020

Implicit Neural Representations with Periodic Activation Functions.

Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Adaptive LiDAR: End-to-end Optimization of Sampling and Depth Completion at Low Sampling Rates.

Alexander W. Bergman, David B. Lindell, Gordon Wetzstein

Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020