AI RESEARCH
Real-Time Human Reconstruction and Animation using Feed-Forward Gaussian Splatting
arXiv CS.CV
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ArXi:2604.10259v1 Announce Type: new We present a generalizable feed-forward Gaussian splatting framework for human 3D reconstruction and real-time animation that operates directly on multi-view RGB images and their associated SMPL-X poses. Unlike prior methods that rely on depth supervision, fixed input views, UV map, or repeated feed-forward inference for each target view or pose, our approach predicts, in a canonical pose, a set of 3D Gaussian primitives associated with each SMPL-X vertex.