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YesTrack leverages MLLMs for direct Yes/No verification in multi-object tracking, achieving superior performance without the latency of traditional captioning methods.
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.
