111 citations · 376 across the 38 of their papers we have counts for
9 papers · 1 filter
Geometry-aware Single-image Full-body Human Relighting
Chaonan Ji, Tao Yu, Kaiwen Guo +2
Single-image human relighting aims to relight a target human under new lighting conditions by decomposing the input image into albedo, shape and lighting. Although plausible religh…
ProbNVS: Fast Novel View Synthesis with Learned Probability-Guided Sampling
Yuemei Zhou, Tao Yu, Zerong Zheng +2
Existing state-of-the-art novel view synthesis methods rely on either fairly accurate 3D geometry estimation or sampling of the entire space for neural volumetric rendering, which…
HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling
Zhongang Cai, Daxuan Ren, Ailing Zeng +12
4D human sensing and modeling are fundamental tasks in vision and graphics with numerous applications. With the advances of new sensors and algorithms, there is an increasing deman…
GIMO: Gaze-Informed Human Motion Prediction in Context
Yang Zheng, Yanchao Yang, Kaichun Mo +5
Predicting human motion is critical for assistive robots and AR/VR applications, where the interaction with humans needs to be safe and comfortable. Meanwhile, an accurate predicti…
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation
Peng Li, Jiayin Zhao, Jingyao Wu +3
Light field disparity estimation is an essential task in computer vision with various applications. Although supervised learning-based methods have achieved both higher accuracy an…
Structured Local Radiance Fields for Human Avatar Modeling
Zerong Zheng, Han Huang, Tao Yu +3
It is extremely challenging to create an animatable clothed human avatar from RGB videos, especially for loose clothes due to the difficulties in motion modeling. To address this p…
Interacting Attention Graph for Single Image Two-Hand Reconstruction
Mengcheng Li, Liang An, Hongwen Zhang +4
Graph convolutional network (GCN) has achieved great success in single hand reconstruction task, while interacting two-hand reconstruction by GCN remains unexplored. In this paper,…
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset
Lizhen Wang, Zhiyuan Chen, Tao Yu +3
We present FaceVerse, a fine-grained 3D Neural Face Model, which is built from hybrid East Asian face datasets containing 60K fused RGB-D images and 2K high-fidelity 3D head scan m…
HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars
Tao Hu, Tao Yu, Zerong Zheng +3
We propose a novel neural rendering pipeline, Hybrid Volumetric-Textural Rendering (HVTR), which synthesizes virtual human avatars from arbitrary poses efficiently and at high qual…