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Yi Zhang

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Open access Aug 2026

In-Loop Model Adaptation with Coupled Latent-Noise Guidance for High-Fidelity Subject-Driven Text-to-Image Generation

Text-to-image diffusion models have achieved remarkable success in generating high-quality images from a given text prompt. Subject-driven generation aims to synthesize customized images to mimic the appearance of subjects in given reference images within different visual contexts specified by the text prompts. The cen...

Yushun Tang, Weiming Chen, Siyi Liu et al. · 0 citations
Conference Open access Sep 2026

CoDA: Co-adaptive Dual-path Alignment for Vision-Language Models

In CoDA, a new adaptation framework that explicitly disentangles and coordinates cross-modal semantic alignment and intra-modal structural consistency is proposed, and it is shown that CoDA outperforms state-of-the-art parameter-efficient methods, particularly under few-shot learning and distribution-shift scenarios.

Yi Zhang, Rui Zhu, Chan-Ni Li et al. · 0 citations

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