activity
20182026
most citedDeep Face Video Inpainting via UV Mapping

21 citations · 64 across the 34 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 1 cited

NeuralMPS: Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition

Jipeng Lv, Heng Guo, Guanying Chen +2

Multispectral photometric stereo(MPS) aims at recovering the surface normal of a scene from a single-shot multispectral image captured under multispectral illuminations. Existing M…

cs.CV2022★ 11 cited

S-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint

Wenqi Yang, Guanying Chen, Chaofeng Chen +2

In this paper, we address the "dual problem" of multi-view scene reconstruction in which we utilize single-view images captured under different point lights to learn a neural scene…

cs.CV2022

Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes

Haolin Liu, Yujian Zheng, Guanying Chen +2

We present a new framework to reconstruct holistic 3D indoor scenes including both room background and indoor objects from single-view images. Existing methods can only produce 3D…

cs.CV2022★ 2 cited

PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo

Wenqi Yang, Guanying Chen, Chaofeng Chen +2

Traditional multi-view photometric stereo (MVPS) methods are often composed of multiple disjoint stages, resulting in noticeable accumulated errors. In this paper, we present a neu…

cs.CV2022★ 3 cited

Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis

Xiang Guo, Guanying Chen, Yuchao Dai +4

Recently, Neural Radiance Fields (NeRF) is revolutionizing the task of novel view synthesis (NVS) for its superior performance. In this paper, we propose to synthesize dynamic scen…

cs.CV2022

JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction

Yukang Cao, Guanying Chen, Kai Han +2

This paper addresses the problem of single view 3D human reconstruction. Recent implicit function based methods have shown impressive results, but they fail to recover fine face de…