Computer Graphics · Geometry Processing · 3D Vision

Jie Yang 杨洁

Assistant Researcher at the Institute of Computing Technology, Chinese Academy of Sciences, working on representations and learning systems for shape, scene, and human reconstruction.

Portrait of Jie Yang

Institute of Computing Technology, CAS · Beijing

Profile

About

I received my Ph.D. in Computer Science from the University of Chinese Academy of Sciences in 2022, advised by Prof. Lin Gao and Prof. Shihong Xia. Before that, I earned a B.S. in Mathematics and Applied Mathematics from Sichuan University in 2016.

My research focuses on geometry processing, neural 3D representations, generative models, and data-driven tools for editable digital content. I am particularly interested in methods that preserve structure while making complex 3D assets easier to reconstruct, generate, and manipulate.

3D Reconstruction Geometry Processing Gaussian Splatting Generative Models Neural Implicit Fields

Updates

Recent news

  1. MesoSplats was accepted by IEEE Transactions on Visualization and Computer Graphics.

  2. HumanLift appeared at ACM SIGGRAPH Asia 2025.

  3. Four papers appeared at SIGGRAPH / SIGGRAPH Asia, including GaussianMesh, DreamUDF, and HAISOR.

  4. Our survey on 3D Gaussian Splatting was published in Computational Visual Media.

  5. Received the Lu Zengyong High-Tech Award.

Selected work

Publications

Representative publications are shown below. See Google Scholar or DBLP for the complete list.

Overview of recent advances in 3D Gaussian Splatting
2024

Computational Visual Media

Recent Advances in 3D Gaussian Splatting

Tong Wu, Yu-Jie Yuan, Ling-Xiao Zhang, Jie Yang, Yan-Pei Cao, Ling-Qi Yan, Lin Gao

Large-scale deformation of Gaussian splatting models
2024

ACM TOG · SIGGRAPH Asia 2024

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

DreamUDF single-image unsigned distance field generation results
2024

ACM TOG · SIGGRAPH Asia 2024

DreamUDF: Generating Unsigned Distance Fields from a Single Image

Yu-Tao Liu, Xuan Gao, Weikai Chen, Jie Yang, Xiaoxu Meng, Bo Yang, Lin Gao

HAISOR indoor scene optimization results
2024

ACM TOG · SIGGRAPH 2024

HAISOR: Human-Aware Indoor Scene Optimization via Deep Reinforcement Learning

Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao

DMiT dynamic scene reconstruction results
2024

ECCV 2024

DMiT: Deformable Mipmapped Tri-Plane Representation for Dynamic Scenes

Jing-Wen Yang, Jia-Mu Sun, Yongliang Yang, Jie Yang, Ying Shan, Yan-Pei Cao, Lin Gao

NeuralSlice mesh reconstruction results
2023

ICML 2023

NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes

Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao

NeUDF reconstruction results
2023

CVPR 2023 · IEEE TPAMI 2024

NeUDF: Learning Neural Unsigned Distance Fields with Volume Rendering

Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao

SceneHGN indoor scene generation results
2023

IEEE TPAMI 2023

SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry

Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang

DSG-Net structured shape generation results
2022

ACM TOG · SIGGRAPH 2022

DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation

Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao

HSDF surface modeling results
2022

NeurIPS 2022 · IEEE TVCG 2024

HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies

Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Jintao Li, Lin Gao

SDM-NET structured deformable mesh results
2019

ACM TOG · SIGGRAPH Asia 2019

SDM-NET: Deep Generative Network for Structured Deformable Mesh

Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang

Community

Professional service

Conference reviewer

SIGGRAPH / SIGGRAPH Asia, CVPR, ICCV, ECCV, NeurIPS, AAAI, Pacific Graphics, PRCV

Journal reviewer

IEEE TVCG, Computer Graphics Forum, Transactions on Machine Learning Research

Selected honors

Lu Zengyong High-Tech Award (2023), CAD&CG Excellent Student Award (2021), CAS Zhu Li Yuehua Scholarship (2021), National Scholarship (2018)

Contact

Contact

yangjie01@ict.ac.cn

No. 6 Kexueyuan South Road, Haidian District, Beijing 100190, China