8 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.CV2025
BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models
Ryan Po, Eric Ryan Chan, Changan Chen +1
Autoregressive video models are promising for world modeling via next-frame prediction, but they suffer from exposure bias: a mismatch between training on clean contexts and infere…
cs.LG2024
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
Axel Levy, Eric R. Chan, Sara Fridovich-Keil +3
The interaction of a protein with its environment can be understood and controlled via its 3D structure. Experimental methods for protein structure determination, such as X-ray cry…
cs.AI2023★ 8 cited
State of the Art on Diffusion Models for Visual Computing
Ryan Po, Wang Yifan, Vladislav Golyanik +15
The field of visual computing is rapidly advancing due to the emergence of generative artificial intelligence (AI), which unlocks unprecedented capabilities for the generation, edi…