We address the problem of aligning real-world 3D data of garments, which...
Recent years have witnessed considerable achievements in editing images ...
We present AvatarReX, a new method for learning NeRF-based full-body ava...
Creating animatable avatars from static scans requires the modeling of
c...
We present Tensor4D, an efficient yet effective approach to dynamic scen...
We propose DiffuStereo, a novel system using only sparse cameras (8 in t...
We present FITE, a First-Implicit-Then-Explicit framework for modeling h...
Existing state-of-the-art novel view synthesis methods rely on either fa...
It is extremely challenging to create an animatable clothed human avatar...
We propose a novel neural rendering pipeline, Hybrid Volumetric-Textural...
Human volumetric capture is a long-standing topic in computer vision and...
We propose DeepMultiCap, a novel method for multi-person performance cap...
We introduce VERTEX, an effective solution to recover 3D shape and intri...
Deep implicit functions (DIFs), as a kind of 3D shape representation, ar...
Modeling 3D humans accurately and robustly from a single image is very
c...
In this paper, we propose an efficient method for robust 3D self-portrai...
We propose DeepHuman, a deep learning based framework for 3D human
recon...
This paper proposes a new method for live free-viewpoint human performan...
We propose DoubleFusion, a new real-time system that combines volumetric...