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FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility

Research Multimodal & Generative

Merged summary

TL;DR - FlexiAvatar reconstructs animatable 3D Gaussian human avatars from monocular videos with arbitrary body visibility. By optimizing only observed regions and generating textures for unseen areas, it improves fidelity while reducing runtime and memory use.

  • Uses occlusion-robust SMPL-X tracking and part-specific residual refinement for detailed geometry and appearance.
  • Applies diffusion-based texture generation to complete entirely unseen regions, such as back views.
  • Supports inputs ranging from full-body video to upper-body and head-only footage.
  • Outperforms state-of-the-art methods by approximately 3% average PSNR across evaluated datasets.

Sources (1)

FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility

arXiv cs.CV Yihalem Yimolal Tiruneh, Muhammad Salman Ali, Uyoung Jeong, Muneeb A. Khan, MD Khalequzzaman Chowdhury Sayem, Allanur Bayramgeldiyev, Binod Bhattarai, Seungryul Baek 2026-07-21 arXiv:2607.19100

TL;DR - FlexiAvatar reconstructs animatable 3D Gaussian human avatars from monocular videos with arbitrary body visibility. By optimizing only observed regions and generating textures for unseen areas, it improves fidelity while reducing runtime and memory use.

  • Uses occlusion-robust SMPL-X tracking and part-specific residual refinement for detailed geometry and appearance.
  • Applies diffusion-based texture generation to complete entirely unseen regions, such as back views.
  • Supports inputs ranging from full-body video to upper-body and head-only footage.
  • Outperforms state-of-the-art methods by approximately 3% average PSNR across evaluated datasets.
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