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Diffusion models, guided by vision-language models and geometric constraints, can now reconstruct realistic 3D human interactions from monocular video, even with severe occlusions.
Achieve realistic and responsive avatar interactions without expensive full-sequence inference, thanks to a novel modular framework that adapts pre-trained motion priors to diverse interaction scenarios.
