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 …

We propose a deep videorealistic 3D human character model displaying highly realistic
shape, motion, and dynamic appearance learned in a new weakly supervised way from …

Abstract 3D human body pose estimation and mesh recovery refer to the approximation of
body parts and joint locations and their recovery into a 3D model to visualize the …

We present CaPhy, a novel method for reconstructing animatable human avatars with
realistic dynamic properties for clothing. Specifically, we aim for capturing the geometric and …

In this paper, we introduce a set of simple yet effective TOken REduction (TORE) strategies
for Transformer-based Human Mesh Recovery from monocular images. Current SOTA …

Apparel's significant role in human appearance underscores the importance of garment
digitalization for digital human creation. Recent advances in 3D content creation are pivotal …

While previous years have seen great progress in the 3D reconstruction of humans from
monocular videos, few of the state-of-the-art methods are able to handle loose garments that …

Garment representation, editing and animation are challenging topics in the area of
computer vision and graphics. It remains difficult for existing garment representations to …

This paper addresses the challenge of capturing performance for the clothed humans from
sparse-view or monocular videos. Previous methods capture the performance of full humans …

Clothing plays a fundamental role in digital humans. Current approaches to animate 3D
garments are mostly based on realistic physics simulation, however, they typically suffer …