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20182022
most citedLight Field Reconstruction Using Convolutional Network on EPI and Extended Applications

165 citations · 314 across the 22 of their papers we have counts for

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30 papers · 1 filter

cs.CV202213 cited

IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis

Jingxiang Sun, Xuan Wang, Yichun Shi +3

Existing 3D-aware facial generation methods face a dilemma in quality versus editability: they either generate editable results in low resolution or high-quality ones with no editi…

cs.CV2022

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…

cs.CV20222 cited

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…

cs.CV202213 cited

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,…

cs.CV20223 cited

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…

cs.CV20213 cited

Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras

Yuxiang Zhang, Zhe Li, Liang An +3

Multi-person total motion capture is extremely challenging when it comes to handle severe occlusions, different reconstruction granularities from body to face and hands, drasticall…