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Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models
March 26, 2024, 4:49 a.m. | Phuong Dam, Jihoon Jeong, Anh Tran, Daeyoung Kim
cs.CV updates on arXiv.org arxiv.org
Abstract: This study discusses the critical issues of Virtual Try-On in contemporary e-commerce and the prospective metaverse, emphasizing the challenges of preserving intricate texture details and distinctive features of the target person and the clothes in various scenarios, such as clothing texture and identity characteristics like tattoos or accessories. In addition to the fidelity of the synthesized images, the efficiency of the synthesis process presents a significant hurdle. Various existing approaches are explored, highlighting the limitations …
abstract arxiv challenges clothing commerce consistent cs.cv diffusion diffusion models e-commerce features identity metaverse person study texture type virtual virtual try-on
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