AI RESEARCH
MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos
arXiv CS.CV
•
ArXi:2601.02716v2 Announce Type: replace Transferring articulated motion from monocular videos to rigged 3D characters is challenging due to pose ambiguity in 2D observations and morphological differences between source and target. Existing approaches often follow a reconstruct-then-retarget paradigm, tying transfer quality to intermediate 3D reconstruction and limiting applicability to categories with parametric templates.