Real-Time Human Reconstruction and Animation using Feed-Forward Gaussian Splatting
We present HumanGS, a generalizable feed-forward Gaussian splatting framework for human 3D reconstruction and real-time animation from sparse multi-view RGB images and their associated SMPL-X poses. Unlike prior methods that rely on depth supervision, fixed input views, UV maps, repeated feed-forward inference for each target pose or view, or computationally expensive vertex-to-image cross-attention, HumanGS employs a simple transformer architecture that explicitly associates SMPL-X vertices with multi-scale image features through geometric back-projection. This eliminates the need for large pre-trained human representation models while naturally aggregating complementary information from...
| Authors | Devdoot Chatterjee, Zakaria Laskar, C. V. Jawahar |
|---|---|
| Primary category | cs.CV |
| Published | 11 April 2026 |
| Last updated at source | 23 July 2026 |
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