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20172021
most citedSparse Photometric 3D Face Reconstruction Guided by Morphable Models

2 citations · 3 across the 2 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Survey

Jiahui Zhang, Yuelei Li, Anpei Chen +15

3D reconstruction and view synthesis are foundational problems in computer vision, graphics, and immersive technologies such as augmented reality (AR), virtual reality (VR), and di…

cs.CV20211 cited

Convolutional Neural Opacity Radiance Fields

Haimin Luo, Anpei Chen, Qixuan Zhang +4

Photo-realistic modeling and rendering of fuzzy objects with complex opacity are critical for numerous immersive VR/AR applications, but it suffers from strong view-dependent brigh…

cs.CV2021

GNeRF: GAN-based Neural Radiance Field without Posed Camera

Quan Meng, Anpei Chen, Haimin Luo +5

We introduce GNeRF, a framework to marry Generative Adversarial Networks (GAN) with Neural Radiance Field (NeRF) reconstruction for the complex scenarios with unknown and even rand…

cs.CV2021

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo

Anpei Chen, Zexiang Xu, Fuqiang Zhao +4

We present MVSNeRF, a novel neural rendering approach that can efficiently reconstruct neural radiance fields for view synthesis. Unlike prior works on neural radiance fields that…

cs.CV2019

A Neural Rendering Framework for Free-Viewpoint Relighting

Zhang Chen, Anpei Chen, Guli Zhang +4

We present a novel Relightable Neural Renderer (RNR) for simultaneous view synthesis and relighting using multi-view image inputs. Existing neural rendering (NR) does not explicitl…

cs.CV2019

Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation

Ziheng Zhang, Anpei Chen, Ling Xie +2

In this work, we demonstrate yet another approach to tackle the amodal segmentation problem. Specifically, we first introduce a new representation, namely a semantics-aware distanc…