AI RESEARCH
BodyReLux: Temporally Consistent Full-Body Video Relighting
arXiv CS.CV
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ArXi:2605.21766v1 Announce Type: new Being able to relight human performance is a fundamental task for post production and content creation. We present BodyReLux, a subject-specific video diffusion-based framework for relighting full-body human performances in a temporally consistent way. Our model is trained on a hybrid dataset of pixel-aligned video relighting pairs, covering a diverse combination of lighting conditions, performances and viewpoints.