Tag
PhyGenHOI is a novel framework that generates physically accurate 4D human-object interactions by coupling motion diffusion models with material point method simulations using 3D Gaussian representations.
DeVI introduces a framework that turns text-conditioned synthetic videos into physically plausible dexterous robot control via a hybrid 3D-2D tracking reward, enabling zero-shot generalization to unseen objects.
CoInteract introduces an end-to-end Diffusion Transformer framework that jointly models RGB appearance and HOI geometry to generate physically-plausible human-object interaction videos with stable hands/faces and zero inference overhead.
OneHOI is a unified diffusion transformer framework that consolidates human-object interaction (HOI) generation and editing into a single conditional denoising process using relational modeling and structured attention mechanisms. The approach achieves state-of-the-art results across both HOI generation and editing tasks with support for multiple control modalities.