Yu-Jie Yuan

Email   |   Google Scholar   |   Github


I am Yu-Jie Yuan, a Ph.D. student at Institute of Computing Technology, Chinese Academy of Sciences, supervised by Prof. Lin Gao. I am also very fortunate to collaborate with Prof. Yu-Kun Lai and Prof. Leif Kobbelt. Previously, I made some attempts on geometry processing (mainly deformation) and deep geometry learning based on mesh representation. My current research interests involve modeling, editing, and generation of neural representations. I have received the mathmatic bachelor degree from Xi'an Jiaotong University in 2018.



Researches

Recent Advances in 3D Gaussian Splatting
Tong Wu, Yu-Jie Yuan, Ling-Xiao Zhang, Jie Yang, Yan-Pei Cao, Ling-Qi Yan, Lin Gao
Computational Visual Media, 2024
Paper

MuNeRF: Robust Makeup Transfer in Neural Radiance Fields
Yu-Jie Yuan#, Xinyang Han#, Yue He, Fang-Lue Zhang, Lin Gao*
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2024
Project |  Paper

Multi-Level Patch Transformer for Style Transfer with Single Reference Image
Yue He#, Lan Chen#, Yu-Jie Yuan, Shu-Yu Chen, Lin Gao*
The 12th international conference on Computational Visual Media (CVM 2024)
Paper

Interactive NeRF Geometry Editing with Shape Priors
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Leif Kobbelt, Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023
Project |  Paper

神经辐射场研究进展 (A Survey of Neural Radiance Fields)
Yu-Jie Yuan, Tong Wu, Jie Yang, Lin Gao
中国图象图形学学会通讯, 2(1), 9-25, 2023
Paper

RGBDNeRF: Neural Radiance Fields from Sparse RGB-D Images for High-Quality View Synthesis
Yu-Jie Yuan, Yu-Kun Lai, Yi-Hua Huang, Leif Kobbelt, Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022
Project |  Paper |  Code

NeRF-Editing: Geometry Editing of Neural Radiance Fields
Yu-Jie Yuan#, Yang-Tian Sun#, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Lin Gao*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Project |  Paper |  Code

StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning
Yi-Hua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, Lin Gao*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Project |  Paper |  Code

TM-NET: Deep Generative Networks for Textured Meshes
Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao (Richard) Zhang
ACM Transactions on Graphics (SIGGRAPH ASIA 2021), 2021, 40 (6), 263:1-263:15
Project |  Paper |  Video  (YouTube | Bilibili)

A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint
Yu-Jie Yuan, Yu-Kun Lai, Tong Wu, Lin Gao*, Ligang Liu
Journal of Computer Science and Technology 36(3): 520-554, 2021
Paper

Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Qi Duan, Hongbo Fu, Lin Gao*
Learning 3D Generative Models, CVPR 2020 Workshop
Paper |  Code

SDM-NET: Deep Generative Network for Structured Deformable Mesh (Awarded the Replicability Stamp)
Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao (Richard) Zhang
ACM Transactions on Graphics (SIGGRAPH Asia), 38(6), 2019
Project |  Paper |  Video

Data-Driven Weight Optimization for Real-Time Mesh Deformation
Yu-Jie Yuan, Yu-Kun Lai, Tong Wu, Shihong Xia, Lin Gao*
Graphical Models, vol.104, 2019
Paper






Education


University of Chinese Academy of Science
Computer Graphics
Ph.D. Degree
September 2018 - present

Xi'an Jiaotong University
Mathmatics
Bachelor's Degree
Rank: 3/60; GPA: 3.87/4.3
September 2014 - July 2018






Honors and Awards


  • National Scholarship, 2020
  • Merit Student of University of Chinese Academy of Sciences, 2019
  • 1st Scholarship of University of Chinese Academy of Sciences, 2019
  • Efunds Scholarship, 2019
  • Chinese Academy of Sciences Colledge Students Scholarship, 2018.09