Author

Zhenqi He

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Preprint Aug 2026

DIFFCZSL: Compositional Zero-Shot Learning Regularized by Diffusion Representations

DIFFCZSL is proposed, a diffusion-augmented framework that injects generative priors from pre-trained diffusion models into CLIP-based CZSL pipelines and highlights the complementary strengths of generative diffusion representations and discriminative vision-language models for compositional generalization.

Hangyu Tian, Zhenqi He, Yanghao Wang et al. · 0 citations