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title
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2026-01-27 12:08:02
raw text
Temporal Residual Jacobians for Rig-free Motion Transfer Temporal Residual Jacobians for Rig-free Motion Transfer [ECCV 2024] Sanjeev Muralikrishnan 1 , Niladri Shekhar Dutt 1 , Siddhartha Chaudhuri 2 , Noam Aigerman 3 , Vladimir Kim 2 , Matthew Fisher 2 , Niloy Mitra 1,2 1 University College London 2 Adobe Research 3 University of Montreal arXiv Paper Code Abstract We introduce Temporal Residual Jacobians as a novel representation to enable data-driven motion transfer. Our approach does not assume access to any rigging or intermediate shape keyframes, produces geometrically and temporally consistent motions, and can be used to transfer long motion sequences. Central to our approach are two dedicated neural networks that individually predict the local geometric and temporal changes that are subsequently integrated, spatially and temporally, to produce the final animated meshes. The two networks are jointly trained, compl...
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