Huachen Gao's Homepage

Huachen Gao 高华辰
gaohuachen712 at gmail dot com

I am now a visiting student at Inception3D Lab, Westlake University, under the supervision of Prof. Anpei Chen. I am also a final-year MPhil. student at National Engineering Research Laboratory for Video and Vision Technology, Peking University, supervised by Prof. Ronggang Wang. Before that, I received my B.Eng degree of Computer Science from Shandong University.

My research interests include 3D content generation, 3D representation, neural rendering (NeRF, 3D Gaussian Splatting), 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# The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [arxiv] [project page] [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# The 32nd 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# The 18th European Conference on Computer Vision (ECCV), 2024 [arxiv] [project page] [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# The 18th European Conference on Computer Vision (ECCV), 2024 [arxiv] [project page] [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# The 18th European Conference on Computer Vision (ECCV), 2024 [arxiv] [code]
	FDC-NeRF: Learning Pose-Free Neural Radiance Fields With Flow-Depth Consistency (Oral Presentation) 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 [paper] [slide]
	N2MVSNet: Non-Local Neighbors Aware Multi-View Stereo Network Zhe Zhang, Huachen Gao, Yuxi Hu, Ronggang Wang# IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 [paper]
	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 (Expected)
	Shandong University Bachelor of Engineering in Computer Science (with honour) 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 ~ Now
	Tencent Research Intern at Hunyuan Research and develop Hunyuan3D-1.0 Aug. 2023 ~ Jan. 2024

Awards

2022.06: Honours Bachelor of Engineering in Shandong University (Top 5% in Shandong University)
2022.04: Outstanding Graduate of Shandong Province (Top 0.1% in Shandong Porvince)
2021.04: Honorable Mention Award of MCM/ICM (Top 20% Worldwide)
2020.11: National First Prize in Undergraduate Mathematical Contest in Modelling (Top 0.6% in China)
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

Others

Software Copyrights/Patents:
Augmented reality technology based starnight simulation system (2020SR0837054)

Skills:
Language: Chinese, English (CET-4 640 | CET-6 570)
Programming: Python, C/C++, Java, Blender

Last update: Dec 2024. / Thanks for the awesome template.