Generative Relightable Avatars
We present Generative Relightable Avatars (GRA), a person-specific method for photorealistic free-view rendering and environment-map relighting of full-body humans. We postulate that modeling fine-grained appearance details is inherently a one-to-many problem that can benefit from a generative formulation. In contrast to fully regressive relightable avatar methods, GRA follows a hybrid approach that combines controllable, physics-grounded relighting with probabilistic refinement. Starting from a tracked animated mesh, we optimize material parameters in UV-space and render a coarse relit appearance under a target HDR environment map. Next, we refine the textures with a feed-forward model t...
| Authors | Kunwar Maheep Singh, Christian Theobalt, Rishabh Dabral |
|---|---|
| Primary category | cs.CV |
| Published | 21 June 2026 |
| Last updated at source | 30 July 2026 |
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