Huachen Gao's Homepage

Huachen Gao 高华辰

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 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.

Google Scholar / Github / WeChat / Blog

Research

Published papers are listed below. ( Equal contribution, # Corresponding author)

	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# IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025, (Highlight) 3% Acceptance Rate [paper] [project] [code] [dataset] [post]
	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 International Conference on Multimedia (ACM MM), 2024 [arxiv]
	Disentangled Generation and Aggregation for Robust Radiance Fields Huachen Gao, Shihe Shen, Wangze Xu, Rui Peng, Luyang Tang, Kaiqiang Xiong, Jianbo Jiao, Ronggang Wang# European Conference on Computer Vision (ECCV), 2024 [arxiv] [project] [code]
	MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views Wangze Xu, Huachen Gao, Shihe Shen, Rui Peng, Jianbo Jiao, Ronggang Wang# European Conference on Computer Vision (ECCV), 2024 [arxiv] [project] [code]
	Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction Rui Peng, Shihe Shen, Kaiqiang Xiong, Huachen Gao, Jianbo Jiao, Xiaodong Gu, Ronggang Wang# European Conference on Computer Vision (ECCV), 2024 [arxiv] [code]
	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# IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, (Oral) 8% Acceptance Rate [paper] [slide]
	PDANet: Self-Supervised Monocular Depth Estimation Using Perceptual and Data Augmentation Consistency Huachen Gao, Xiaoyu Liu, Meixia Qu#, Shijie Huang Applied Sciences, 2021, SCI, JCR-Q2 [paper]

Education

	Peking University Master of Science in Computer Science Under the supervision of 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

	Beijing Academy of Artificial Intelligence Research Intern at BAAI-Vision Research on 3D content generation Advised by Dr. Baorui Ma and Dr. Xinlong Wang Apr. 2024 ~ Apr. 2025
	Tencent Research Intern at Hunyuan Research and develop Hunyuan3D-1.0 Aug. 2023 ~ Jan. 2024

Awards

2022.06: Honors Bachelor of Engineering in Shandong University
2022.04: Outstanding Graduate of Shandong Province
2021.04: Honorable Mention Award of MCM/ICM
2020.11: National First Prize Top 0.6% in China in Undergraduate Mathematical Contest in Modelling
2020.02: National Second prize of 2020 China Engineering Robotics Competition

Services

Reviewer:

Conference: ACM MM'24/25, CVPR'25, ICASSP'25, IJCNN'25
Journal: TCSVT, ISPRS

Misc

Skills:
Language: Chinese, English
Programming: Python, C/C++, Java, Blender

Last update: June 2025. / Thanks for the awesome template.