BIGO and iQIYI's ClothFormer: Realistic Video Virtual Try-on Come True

Total global retail e-commerce sales have more than tripled over the last six years and are projected to top US$7 trillion by 2025. With fashion claiming an increasing share of this market, suppliers are increasingly deploying AI-powered virtual try-on systems. Such systems are not only changing buyers' shopping habits and boosting the e-commerce industry, they also have applications in short video and other popular domains. While the quality of image-based virtual try-on methods has dramatically improved, video-based virtual try-on remains relatively underdeveloped, as it is difficult and computationally costly to generate visually pleasing and temporally coherent video results. In the new paper ClothFormer: Taming Video Virtual Try-on in All Module, a research team from BIGO Technology and iQIYI Inc. presents ClothFormer, a novel video virtual try-on framework that preserves clothes' and humans' features and details to generate realistic and temporally smooth try-on videos that surpass the outputs of current state-of-the-art virtual try-on systems by a large margin.