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20242026
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cs.CV2026

Step Back to Move Forward: Reflection-Aware Preference Optimization for Visual Generation

Junlong Wu, Jiuzhou Lin, Jia Sun +7

Diffusion models have become the mainstream paradigm for modern visual generation and have substantially advanced multimedia content synthesis, especially in text-to-image and text…

cs.CV2026

TextRefine: Improving Textual Fidelity, Spatial Placement, and Glyph Rendering for Text Editing in Product Posters

Honglie Wang, Jia Sun, Zijun Li +11

Text editing in product posters entails inserting new text or replacing existing text while preserving product appearance, background content, and global composition. Despite recen…

cs.CV2026

DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation

Zijun Li, Yimin Zhou, Jia Sun +12

Diffusion-based generative AI has achieved remarkable success in e-commerce applications such as virtual try-on, poster generation, and product background synthesis. However, when…

cs.CV2026

OmniDiT: Extending Diffusion Transformer to Omni-VTON Framework

Weixuan Zeng, Pengcheng Wei, Huaiqing Wang +8

Despite the rapid advancement of Virtual Try-On (VTON) and Try-Off (VTOFF) technologies, existing VTON methods face challenges with fine-grained detail preservation, generalization…

cs.CV2024

Multimodal Emotion Recognition with Vision-language Prompting and Modality Dropout

Anbin QI, Zhongliang Liu, Xinyong Zhou +6

In this paper, we present our solution for the Second Multimodal Emotion Recognition Challenge Track 1(MER2024-SEMI). To enhance the accuracy and generalization performance of emot…