Query Garment

Query garment research focuses on understanding and manipulating clothing in digital environments, primarily for applications like virtual try-on, human pose estimation, and robot interaction. Current efforts concentrate on developing robust models, often employing neural networks (including diffusion models and graph neural networks), to address challenges such as accurate 3D reconstruction of clothing from 2D images, realistic clothing simulation and animation, and disentangling clothing features from human body attributes. This research is significant for advancing computer vision, human-computer interaction, and robotics, with potential impacts ranging from improved e-commerce experiences to more realistic virtual characters in gaming and film.