mlsanityData to 7 Oct 2026

LegacyAvatars: Volumetric Face Avatars For Traditional Graphics Pipelines

arXiv 2601.12285 ↗First posted 18 Jan 2026cs.CVcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 52 of its 65 references that are in the map. First posted on arXiv 18 Jan 2026.

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52 of 65 references.

References · 52

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38 more
  1. 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 216
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50 most cited of 52 All 52 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026GHARP: Real-time Gaussian Head Animation from Large-scale Reconstruction Priorcited by 0