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 …

This paper addresses the challenge of reconstructing an animatable human model from a
multi-view video. Some recent works have proposed to decompose a non-rigidly deforming …

This paper addresses the challenge of novel view synthesis for a human performer from a
very sparse set of camera views. Some recent works have shown that learning implicit …

We present Sapiens, a family of models for four fundamental human-centric vision tasks–2D
pose estimation, body-part segmentation, depth estimation, and surface normal prediction …

We present neural radiance fields for rendering and temporal (4D) reconstruction of humans
in motion (H-NeRF), as captured by a sparse set of cameras or even from a monocular …

Realistic human-centric rendering plays a key role in both computer vision and computer
graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing …

In this paper, we aim at synthesizing a free-viewpoint video of an arbitrary human
performance using sparse multi-view cameras. Recently, several works have addressed this …

Existing semantic segmentation approaches either aim to improve the object's inner
consistency by modeling the global context, or refine objects detail along their boundaries …

Image-based virtual try-on aims to synthesize an image of a person wearing a given clothing
item. To solve the task, the existing methods warp the clothing item to fit the person's body …

The task of image-based virtual try-on aims to transfer a target clothing item onto the
corresponding region of a person, which is commonly tackled by fitting the item to the …