Haian Jin's Homepage

⚓ About Me

My name is Haian Jin (金海岸), which means "Golden Coast" in Chinese. I'm a Ph.D. student in Computer Science at Cornell University, advised by Prof. Noah Snavely. My research lies at the intersection of computer Vision, graphics, and machine learning, with current interests in long-context learning, physical understanding, and world modeling. I am supported by the Google PhD Fellowship.

Previously, I completed my bachelor's degree (2019-2023) in Computer Science with honors from the Chu Kochen Honors College of Zhejiang University, ranking in the top 1%. During my undergraduate studies, I was fortunate to work closely with Prof. Hao Su (UCSD) and Prof. Xiaowei Zhou (ZJU).

💡 Experience

	Google DeepMind · Student Researcher · Summer 2025 Working with Aleksander Hołyński
	Adobe Research · Research Intern · Summer 2024 Working with Zexiang Xu

📖 Publications

(* denotes equal contribution, and † denotes equal advisory.)

	ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training Haian Jin, Rundi Wu, Tianyuan Zhang, Ruiqi Gao, Jonathan T. Barron, Noah Snavely, Aleksander Hołyński CVPR 2026 [New] Project Page / Paper / Code
	RayZer: A Self-supervised Large View Synthesis Model Hanwen Jiang, Hao Tan, Peng Wang, Haian Jin, Yue Zhao, Sai Bi, Kai Zhang, Fujun Luan, Kalyan Sunkavalli, Qixing Huang, Georgios Pavlakos ICCV 2025 (Oral Presentation, Best Student Paper Honorable Mention) Project Page / Paper / Code
	MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Hanwen Jiang, Zexiang Xu, Desai Xie, Ziwen Chen, Haian Jin, Fujun Luan, Zhixin Shu, Kai Zhang, Sai Bi, Xin Sun, Jiuxiang Gu, Qixing Huang, Georgios Pavlakos, Hao Tan CVPR 2025 Project Page / Paper / Code
	StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models Yunzhi Yan^, Zhen Xu^, Haotong Lin, Haian Jin, Haoyu Guo, Yida Wang, Kun Zhan, Xianpeng Lang, Hujun Bao, Xiaowei Zhou, Sida Peng CVPR 2025 Project Page / Paper / Code
	LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi, Tianyuan Zhang, Fujun Luan, Noah Snavely, Zexiang Xu ICLR 2025 (Oral Presentation) Project Page / Paper / Code
	RelitLRM: Generative Relightable Radiance for Large Reconstruction Models Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Milos Hasan, William T. Freeman, Kai Zhang^†, Fujun Luan^† ICLR 2025 (Spotlight) Project Page / Paper
	Neural Gaffer: Relighting Any Object via Diffusion Haian Jin, Yuan Li, Fujun Luan, Yuanbo Xiangli, Sai Bi, Kai Zhang, Zexiang Xu, Jin Sun, Noah Snavely NeurIPS 2024 Project Page / Paper / Code
	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 / Code
	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
	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 / Paper / Code