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Bruno Roy

2 accepted papers

2026

FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds

ICML 2026poster

Learning natural body motion remains challenging due to the strong coupling between spatial geometry and temporal dynamics. Embedding motion in phase manifolds, latent spaces that capture local periodicity, has proven effective for motion prediction; however, existing approaches lack scalability and…

Cited by 1SourceScholar
2026

Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives

ICLR 2026poster

Recent 3D generative models produce high-quality textures for 3D mesh objects. However, they commonly rely on the heavy assumption that input 3D meshes are accompanied by manual mesh parameterization (UV mapping), a manual task that requires both technical precision and artistic judgment. Industry s…

Cited by 0SourcecodeScholar