LegacyAvatars: Volumetric Face Avatars For Traditional Graphics Pipelines
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arXiv
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| Hauptverfasser: | , , , , , , , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866917209125683200 |
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| author | Medin, Safa C. Li, Gengyan Bai, Ziqian Du, Ruofei Helminger, Leonhard Zhang, Yinda Garbin, Stephan J. Davidson, Philip L. Wornell, Gregory W. Beeler, Thabo Meka, Abhimitra |
| author_facet | Medin, Safa C. Li, Gengyan Bai, Ziqian Du, Ruofei Helminger, Leonhard Zhang, Yinda Garbin, Stephan J. Davidson, Philip L. Wornell, Gregory W. Beeler, Thabo Meka, Abhimitra |
| contents | We introduce a novel representation for efficient classical rendering of photorealistic 3D face avatars. Leveraging recent advances in radiance fields anchored to parametric face models, our approach achieves controllable volumetric rendering of complex facial features, including hair, skin, and eyes. At enrollment time, we learn a set of radiance manifolds in 3D space to extract an explicit layered mesh, along with appearance and warp textures. During deployment, this allows us to control and animate the face through simple linear blending and alpha compositing of textures over a static mesh. This explicit representation also enables the generated avatar to be efficiently streamed online and then rendered using classical mesh and shader-based rendering on legacy graphics platforms, eliminating the need for any custom engineering or integration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_12285 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | LegacyAvatars: Volumetric Face Avatars For Traditional Graphics Pipelines Medin, Safa C. Li, Gengyan Bai, Ziqian Du, Ruofei Helminger, Leonhard Zhang, Yinda Garbin, Stephan J. Davidson, Philip L. Wornell, Gregory W. Beeler, Thabo Meka, Abhimitra Computer Vision and Pattern Recognition We introduce a novel representation for efficient classical rendering of photorealistic 3D face avatars. Leveraging recent advances in radiance fields anchored to parametric face models, our approach achieves controllable volumetric rendering of complex facial features, including hair, skin, and eyes. At enrollment time, we learn a set of radiance manifolds in 3D space to extract an explicit layered mesh, along with appearance and warp textures. During deployment, this allows us to control and animate the face through simple linear blending and alpha compositing of textures over a static mesh. This explicit representation also enables the generated avatar to be efficiently streamed online and then rendered using classical mesh and shader-based rendering on legacy graphics platforms, eliminating the need for any custom engineering or integration. |
| title | LegacyAvatars: Volumetric Face Avatars For Traditional Graphics Pipelines |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2601.12285 |