TT4D delivers a large-scale dataset of high-fidelity 3D table tennis gameplay reconstructed from monocular videos using a novel lift-first pipeline that infers ball trajectories and spin while handling occlusions.
Learning athletic humanoid tennis skills from imperfect human motion data.arXiv preprint arXiv:2603.12686, 2026
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Imagine2Real enables zero-shot humanoid-object interaction by unifying motions as 4D point trajectories, tracking only base/hands/object keypoints inside a BFM latent space, and training with progressive simple rewards for mocap deployment.
citing papers explorer
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TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videos
TT4D delivers a large-scale dataset of high-fidelity 3D table tennis gameplay reconstructed from monocular videos using a novel lift-first pipeline that infers ball trajectories and spin while handling occlusions.
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Imagine2Real: Towards Zero-shot Humanoid-Object Interaction via Video Generative Priors
Imagine2Real enables zero-shot humanoid-object interaction by unifying motions as 4D point trajectories, tracking only base/hands/object keypoints inside a BFM latent space, and training with progressive simple rewards for mocap deployment.