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Magic Clothing: Controllable Garment-Driven Image Synthesis
April 16, 2024, 4:47 a.m. | Weifeng Chen, Tao Gu, Yuhao Xu, Chengcai Chen
cs.CV updates on arXiv.org arxiv.org
Abstract: We propose Magic Clothing, a latent diffusion model (LDM)-based network architecture for an unexplored garment-driven image synthesis task. Aiming at generating customized characters wearing the target garments with diverse text prompts, the image controllability is the most critical issue, i.e., to preserve the garment details and maintain faithfulness to the text prompts. To this end, we introduce a garment extractor to capture the detailed garment features, and employ self-attention fusion to incorporate them into the …
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