Haian Jin's Homepage

⚓ About Me

Hi👋! My name is Haian Jin (金海岸), which means "Golden Coast" in Chinese. I am a first-year CS Ph.D. student at Cornell University working with Prof. Noah Snavely. My research interest lies in 3D Computer Vision and Graphics, specifically focusing on 3D reconstruction and generation.

Previously, I got my bachelor's degree in Computer Science with highest honors from Chu Kochen Honors College of Zhejiang University in June 2023, with an overall GPA of 3.98/4.0 (92.7/100), ranking top 1%. During my undergraduate, I was fortunate to work closely with Prof. Hao Su at the UCSD SuLab and Prof. Xiaowei Zhou at the ZJU3DV Lab.

📝 Publications and Preprints

* denotes equal contribution.

	OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects Isabella Liu^, Linghao Chen^, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su NeurIPS 2023 Datasets and Benchmarks Project Page / Paper
	One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization Minghua Liu^, Chao Xu^, Haian Jin^, Linghao Chen^, Mukund Varma T, Zexiang Xu, Hao Su NeurIPS 2023 Project Page / Paper / Code 👉Brief summary: Many existing image-to-3D methods optimizes a neural radiance field under the guidance of 2D diffusion models but suffer from lengthy optimization time, 3D inconsistency results, and poor geometry. In this work, we propose a novel method that takes a single image of any object as input and generates a full 360-degree 3D textured mesh in a single feed-forward pass. Without costly optimizations, our method reconstructs 3D shapes in significantly less time than existing methods. Moreover, our method favors better geometry, generates more 3D consistent results, and adheres more closely to the input image. In addition, our approach can seamlessly support the text-to-3D task by integrating with off-the-shelf text-to-image diffusion models.
	TensoIR: Tensorial Inverse Rendering Haian Jin^, Isabella Liu^, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu^†, Hao Su^† CVPR 2023 Project Page / Video / Paper / Code 👉Method highlights: Accurate modeling of visibility and indirect illumination on-the-fly Enable efficient BRDF and geometry reconstruction under a single or multiple unknown lighting conditions Outperform previous NeRF-based and SDF-based inverse rendering pipelines

📖 Teaching

Fundamentals of C Programming (Fall 2022)
Zhejiang University
Teaching assistant

🎖 Honors and Awards

2022 - 2023 Outstanding Graduation Thesis Award of Zhejiang University
2022 - 2023 Outstanding Graduates of Zhejiang Province
2022 - 2023 Outstanding Graduates of Zhejiang University
2021 - 2022 Zhejiang Provincial Government Scholarship (top 5%)
2021 - 2022 Pilot Scholarship in Chu Kochen Honors College (top 5%)
2020 - 2021 Scholarship for Excellence in Chu Kochen Honors College (top 1%)
2020 - 2021 Zhejiang University Scholarship - First Prize (top 3%)
2019 - 2020 China National Scholarship (top 1%)
2019 - 2020 Zhejiang University Scholarship - First Prize (top 3%)