Three things everyone should ask about photorealistic virtual try-on.
Aayush Bansal ⋅ Minh Vo
Abstract
Virtual Try-On (VTON) promises to transform the apparel e-commerce industry, offering benefits for shoppers, businesses, and the environment. This workshop will address three key challenges that must be overcome to realize VTON's full potential: achieving high-fidelity, rapid video try-ons; accurately predicting 3D garment size and improving 3D human body reasoning; and defining robust metrics for synthesis quality that avoid offensive results across diverse demographics. Addressing these VTON-specific challenges will necessitate fundamental advancements in generative image and video synthesis, offering broader impact within the computer vision and machine learning communities.
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