Jiahui Lei 雷嘉晖

I'm a post-doc researcher at UC Berkeley working with Prof. Angjoo Kanazawa and Prof. Trevor Darrell.

Today I'm focusing on 4D Vision for Robotics.

Previously, I worked on 4D as well as equivariant neural networks.

I pursue inspiring, useful, and elegant research on hard problems.

I obtained my Ph.D (2020-2025) at University of Pennsylvania GRASP Lab advised by Prof. Kostas Daniilidis. I was a student researcher at Google DeepMind with Prof. Leo Guibas, and received my bachelor's degree (2016-2020) in Automation (Control Science) with ranking 1st/141, the class of 2020, Zhejiang University.

I'm open to collaborations and I'm always looking for working with strong interns. Feel free to drop me an email : )

Email: leijh [AT] berkeley [dot] edu / Google Scholar / Github

First/Corresponding Author Publications

	MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps Jiahui Lei, Kyle Genova, George Kopanas, Noah Snavely, Leonidas Guibas ICCV, 2025 Coming soon
	DIMO: Diverse 3D Motion Generation for Arbitrary Objects Linzhan Mou, Jiahui Lei^†, Chen Wang, Lingjie Liu, Kostas Daniilidis († corresonding author) ICCV, 2025 Coming soon
	MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds Jiahui Lei, Yijia Weng, Adam W. Harley, Leonidas Guibas, Kostas Daniilidis CVPR, 2025 project page / paper / arXiv / video / code
	HDGS: Textured 2D Gaussian Splatting for Enhanced Scene Rendering Yunzhou Song, Heguang Lin, Jiahui Lei^†, Lingjie Liu, Kostas Daniilidis (* equal contribution; † corresonding author) pre-print, 2024 project page / paper / video
	GART: Gaussian Articulated Template Models Jiahui Lei, Yufu Wang, Georgios Pavlakos, Lingjie Liu, Kostas Daniilidis CVPR, 2024 project page / arXiv / video (YouTube) / video (Bilibili) / code
	Track Everything Everywhere Fast and Robustly Yunzhou Song, Jiahui Lei, Ziyun Wang, Lingjie Liu, Kostas Daniilidis (* equal contribution) ECCV, 2024 project page / arXiv / video (YouTube) / code
	DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting Agelos Kratimenos, Jiahui Lei^†, Kostas Daniilidis († corresonding author) ECCV, 2024 project page / arXiv
	NAP: Neural 3D Articulation Prior Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas Guibas, Kostas Daniilidis NeurIPS, 2023 project page / arXiv / video (YouTube) / code
	Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Congyue Deng, Jiahui Lei, Bokui Shen, Kostas Daniilidis, Leonidas Guibas (* equal contribution) NeurIPS, 2023 project page / arXiv / video (YouTube)
	EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas Guibas, Kostas Daniilidis CVPR, 2023 project page / dataset / arXiv / video (YouTube) / video (Bilibili) / code
	CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism Jiahui Lei, Kostas Daniilidis CVPR, 2022 project page / arXiv / video (YouTube) / video (Bilibili) / code
	Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu, Jiahui Lei, Edgar Dobriban, Kostas Daniilidis (* equal contribution) ICML, 2022 paper
	Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas Guibas ECCV, 2020 project page / arXiv / video / code