Nisha Huang

Temporal reconstruction errors can be harnessed to significantly boost video quality, eliminating the need for expensive human annotations in preference optimization.

Synthesizing realistic animal fur and muscle dynamics is now possible directly from coarse meshes, thanks to a novel diffusion-based approach that leapfrogs traditional, computationally expensive refinement methods.