Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …

Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …

In this paper, we present TailorNet, a neural model which predicts clothing deformation in
3D as a function of three factors: pose, shape and style (garment geometry), while retaining …

We present an image-based VIirtual Try-On Network (VITON) without using 3D information
in any form, which seamlessly transfers a desired clothing item onto the corresponding …

This paper introduces the Attribute-Decomposed GAN, a novel generative model for
controllable person image synthesis, which can produce realistic person images with …

Currently it requires an artist to create 3D human avatars with realistic clothing that can
move naturally. Despite progress on 3D scanning and modeling of human bodies, there is …

We present a novel and effective approach for generating new clothing on a wearer through
generative adversarial learning. Given an input image of a person and a sentence …

Image virtual try-on replaces the clothes on a person image with a desired in-shop clothes
image. It is challenging because the person and the in-shop clothes are unpaired. Existing …

Image-based virtual try-on systems with the goal of transferring a desired clothing item onto
the corresponding region of a person have made great strides recently, but challenges …