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Creators/Authors contains: "Zhang, Linguang"

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  1. ; ; ; ; ; (, CVPR 2025)
    FoundHand is trained on our large-scale FoundHand-10M dataset which contains automatically extracted 2D keypoints and segmentation mask annotations (top left). FoundHand is formulated as a 2D pose-conditioned image-to-image diffusion model that enables precise hand pose and camera viewpoint control (top right). Optionally, we can condition the generation with a reference image to preserve its style (top right). Our model demonstrates exceptional in-the-wild generalization across hand-centric applications and has core capabilities. such as gesture transfer, domain transfer, and novel view synthesis (middle row). This endows FoundHand with zero-shot applications to fix malformed hand images and synthesize coherent hand and hand-object videos, without explicitly giving object cues (bottom row). 
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    Free, publicly-accessible full text available June 16, 2026
  2. ; ; (, 2019 International Conference on Robotics and Automation (ICRA))
    Full Text Available