AI RESEARCH
LHM++: An Efficient Large Human Reconstruction Model for Pose-free Images to 3D
arXiv CS.CV
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ArXi:2506.13766v2 Announce Type: replace Reconstructing animatable 3D humans from casually captured images of articulated subjects without camera or pose information is highly practical but remains challenging due to view misalignment, occlusions, and the absence of structural priors. In this work, we present LHM++, an efficient large-scale human reconstruction model that generates high-quality, animatable 3D avatars within seconds from one or multiple pose-free images.