Huachen Gao高华辰

gaohuachen712@gmail.com

I am a PhD student at Inception3D Lab, Westlake University and Zhejiang University, advised by Prof. Anpei Chen. Prior to this, I obtained my MSc degree at the National Engineering Research Center for Visual Technology, Peking University, advised by Prof. Ronggang Wang. I received my BEng from Shandong University.

My research interests include spatial intelligence, 3D content generation / reconstruction / representation, neural rendering, and multi-view stereo.

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Huachen Gao
Publications

 Equal contribution   # Corresponding author

See3D
You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
Baorui Ma*, Huachen Gao*, Haoge Deng*, Zhengxiong Luo, Tiejun Huang, Lulu Tang#, Xinlong Wang#
CVPR 2025 Highlight3% Acceptance Rate
[paper] [project] [code] [dataset] [post]
Point-to-Gaussian
Large Point-to-Gaussian Model for Image-to-3D Generation
Longfei Lu*, Huachen Gao*, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shutao Xia#
ACM MM 2024
[arxiv]
DiGARR
Disentangled Generation and Aggregation for Robust Radiance Fields
Huachen Gao*, Shihe Shen*, Wangze Xu, Rui Peng, Luyang Tang, Kaiqiang Xiong, Jianbo Jiao, Ronggang Wang#
ECCV 2024
[arxiv] [project] [code]
MVPGS
MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views
Wangze Xu, Huachen Gao, Shihe Shen, Rui Peng, Jianbo Jiao, Ronggang Wang#
ECCV 2024
[arxiv] [project] [code]
SuRF
Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction
Rui Peng, Shihe Shen, Kaiqiang Xiong, Huachen Gao, Jianbo Jiao, Xiaodong Gu, Ronggang Wang#
ECCV 2024
[arxiv] [code]
FDC-NeRF
FDC-NeRF: Learning Pose-Free Neural Radiance Fields With Flow-Depth Consistency
Huachen Gao, Shihe Shen, Zhe Zhang, Kaiqiang Xiong, Rui Peng, Zhirui Gao, Qi Wang, Yugui Xie, Ronggang Wang#
ICASSP 2024 Oral8% Acceptance Rate
[paper] [slide]
Education
Peking University
Master of Science in Computer Science
Advised by Prof. Ronggang Wang
Sept. 2022 – July 2025
Shandong University
Bachelor of Engineering in Computer Science (with honor)
Outstanding Graduate of Shandong Province
Sept. 2018 – July 2022
Experiences
Li Auto
Research Intern
Spatial Reasoning and Representation, World Models
Apr. 2025 – Aug. 2025
Beijing Academy of Artificial Intelligence
Research Intern at BAAI-Vision
3D content generation  |  Advised by Dr. Baorui Ma and Dr. Xinlong Wang
Apr. 2024 – Apr. 2025
Tencent
Research Intern at Hunyuan 3D Team
R&D on Hunyuan3D-1.0
Aug. 2023 – Jan. 2024
Awards
2022.06 Honors Bachelor of Engineering, Shandong University
2022.04 Outstanding Graduate of Shandong Province
2021.04 Honorable Mention Award of MCM/ICM
2020.11 National First Prize in Undergraduate Mathematical Contest in Modelling
2020.02 National Second Prize, China Engineering Robotics Competition
Services

Reviewer:

  • Conference: CVPR, ECCV, NeurIPS, SIGGRAPH Asia, ACM MM, BMVC, ICASSP, IJCNN
  • Journal: TCSVT, ISPRS