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Pablo Ruiz-Ponce

2 accepted papers

2026

Interact2Ar: Full-Body Human-Human Interaction Generation via Autoregressive Diffusion Models

CVPR 2026

Generating realistic human-human interactions is a challenging task that requires not only high-quality individual body and hand motions, but also coherent coordination among all interactants. Due to limitations in available data and increased learning complexity, previous methods tend to ignore han

Cited by 0SourceScholar
2025

MixerMDM: Learnable Composition of Human Motion Diffusion Models

CVPR 2025poster

Generating human motion guided by conditions such as textual descriptions is challenging due to the need for datasets with pairs of high-quality motion and their corresponding conditions. The difficulty increases when aiming for finer control in the generation. To that end, prior works have proposed…

Cited by 1SourcePDFScholar