Yu-Jie Yuan

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I am Yu-Jie Yuan, a research scientist from Huawei. I obtained Ph.D. degree from 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. I have made some attempts on geometry deformation, deep geometry learning based on mesh, and neural modeling. I have received the mathmatic bachelor degree from Xi'an Jiaotong University in 2018.

My current research interests involve MLLM, 3D Vision and their combination. If you are interested in my work, feel free to send me an email for discussion and potential cooperation.




Researches (Full List)



StylizedGS: Controllable Stylization for 3D Gaussian Splatting
Dingxi Zhang, Yu-Jie Yuan, Zhuoxun Chen, Fang-Lue Zhang, Zhenliang He, Shiguang Shan, Lin Gao
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)
Paper

PGT-NeuS: Progressive-Growing Tri-plane Representation for Neural Surface Reconstruction
Xue-Kun Xiang, Yu-Jie Yuan, Wenbo Hu, Yu-Tao Liu, Yuewen Ma, Lin Gao
Accepted by IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)


From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D
Jiahui Zhang#, Yurui Chen#, Yanpeng Zhou#, Yueming Xu, Ze Huang, Jilin Mei, Junhui Chen, Yu-Jie Yuan, Xinyue Cai, Guowei Huang, Xingyue Quan, Hang Xu, Li Zhang
arXiv, 2025
Project  |  Paper  |  Code  |  Data  |  Benchmark

TPD-NeRF: Temporally Progressive Reconstruction of Dynamic Neural Radiance Fields from Monocular Video
Yu-Jie Yuan, Leif Kobbelt, Jie Yang, Yu-Kun Lai, Lin Gao
The 13th international conference on Computational Visual Media (CVM 2025)
Paper

Real-time Large-scale Deformation of Gaussian Splatting
Lin Gao, Jie Yang, Bo-Tao Zhang, Jia-Mu Sun, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai
ACM Transactions on Graphics (SIGGRAPH Asia 2024), 2024, 43 (6)
Project  |  Paper  |  Code  |  Video

4Dynamic: Text-to-4D Generation with Hybrid Priors
Yu-Jie Yuan, Leif Kobbelt, Jiwen Liu, Yuan Zhang, Pengfei Wan, Yu-Kun Lai, Lin Gao
arXiv, 2024
Paper

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

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 - January 2025


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