Author

Ping-Chuan Ma

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Jul 2026

Contrastive-Augmented Flow Matching for Style-Content Disentanglement

Comparative Augmented Flow Matching (CAtFM) is introduced, a framework that integrates contrastive regularization into an invertible flow matching formulation to promote structured content-style representations and provides a simple way to couple discriminative constraints with deterministic transport, improving disentanglement and robustness under distribution shift.

Yusong Li, Pingchuan Ma, Ming Gui et al. · arXiv.org · 0 citations

Jul 2026

ENCORE: Event-Assisted Complementary Motion Refinement for Learned Video Compression

ENCORE, an Event-Assisted Complementary Motion Refinement framework for learned video compression, employs Complementary Motion Representation to decompose aligned RGB-event features into common and modality-specific motion representations and identifies event-specific responses that are active and novel relative to RGB.

Shuhan Ye, Hong Yu, Chenqi Kong et al. · arXiv.org · 0 citations