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Dan Casas

2 papers indexed

arxivcs.CV2026-07-11

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions

Gonzalo Gómez-Nogales, Marc Comino-Trinidad, Andrés Casado-Elvira, Dan Casas

Creating realistic 3D human-human interactions in virtual environments is challenging due to the high degrees of freedom in the human body and the need for physically accurate poses that do not collide with each other. Traditional methods for human-human interaction are based on…

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arxivcs.CV2026-07-02

Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space

Zhibing Li, Amogh Gupta, Behnoosh Parsa, Dan Casas

Novel View Synthesis (NVS) enables the generation of unseen views of a scene from a single or multiple images, allowing users to freely explore an object from any viewpoint. Despite the recent impressive qualitative improvements of generative models for this task, existing method…

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