Relit-LiVE Enables Video Relighting via Joint Environment Video Learning

Relit-LiVE repurposes large-scale video diffusion models as neural renderers. It decomposes videos into intrinsic scenes and renders them under novel illumination.

Relit-LiVE introduces video relighting through joint learning of environment videos using large-scale video diffusion models. It decomposes input videos into intrinsic scene parts and renders under novel lights without needing exact decomposition. This merges decomposition and rendering into one diffusion framework.