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Xiaopei Yang

2 accepted papers

2025

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models

ICCV 2025poster

Explicitly disentangling style and content in vision models remains challenging due to their semantic overlap and the subjectivity of human perception. Existing methods propose separation through generative or discriminative objectives, but they still face the inherent ambiguity of disentangling int…

2025

Stochastic Interpolants for Revealing Stylistic Flows across the History of Art

ICCV 2025accepted

Generative models have made rapid progress in content creation, particularly in synthesizing artworks and capturing stylistic variation. However, most methods operate at the level of individual images, limiting their ability to reveal broader stylistic trends and temporal transitions. We address thi…