3 papers
cs.CV2025
Geometric Neural Distance Fields for Learning Human Motion Priors
Zhengdi Yu, Simone Foti, Linguang Zhang +4
We introduce Neural Riemannian Motion Fields (NRMF), a novel 3D generative human motion prior that enables robust, temporally consistent, and physically plausible 3D motion recover…
cs.CV2025
GoTrack: Generic 6DoF Object Pose Refinement and Tracking
Van Nguyen Nguyen, Christian Forster, Sindi Shkodrani +4
We introduce GoTrack, an efficient and accurate CAD-based method for 6DoF object pose refinement and tracking, which can handle diverse objects without any object-specific training…
cs.CV2024
FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation
Kefan Chen, Chaerin Min, Linguang Zhang +3
Despite remarkable progress in image generation models, generating realistic hands remains a persistent challenge due to their complex articulation, varying viewpoints, and frequen…