Rundi Wu

Rundi Wu | 吴润迪

I'm a fourth-year PhD student at Columbia University, advised by Changxi Zheng. Before that, I obtained my B.S. degree in 2020 from Turing Class, Peking University, where I was fortunate to work with Baoquan Chen. I interned at Tencent America in the summer of 2022, and at Google Research in the summer of 2023. I'm a recipient of the Columbia Engineering School Dean Fellowship.

I'm mostly interested in generative models, 3D vision and graphics.

Email / CV / Github / Google Scholar / LinkedIn

Research

	ReconFusion: 3D Reconstruction with Diffusion Priors Rundi Wu, Ben Mildenhall , Philipp Henzler , Keunhong Park , Ruiqi Gao , Daniel Watson , Pratul P. Srinivasan , Dor Verbin , Jonathan T. Barron , Ben Poole , Aleksander Holynski* CVPR 2024 project page / arXiv Building a multi-view conditioned diffusion model and using it as a prior to regularize radiance field reconstruction from only a few images.
	Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape Rundi Wu, Ruoshi Liu, Carl Vondrick, Changxi Zheng ICLR 2024 project page \| paper \| code A diffusion model trained on a single 3D textured shape, enabling generating diverse high-quality variations of it.
	Zero-1-to-3: Zero-shot One Image to 3D Object Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick ICCV 2023 project page \| paper \| code \| demo Finetuning the stable diffusion model on synthetic 3D data to enable zero-shot novel view synthesis from a single image of an object.
	Implicit Neural Spatial Representations for Time-dependent PDEs Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen ICML 2023 project page \| paper \| code Solving time-dependent PDEs by evolving an implicit neural spatial representation over time.
	Learning to Generate 3D Shapes from a Single Example Rundi Wu, Changxi Zheng SIGGRAPH Asia 2022 (Journal Track) project page \| paper \| code \| video Training a multi-scale patch GAN on a single example to generate 3D shapes that locally resemble the input.
	Dynamic Sliding Window for Realtime Denoising Networks Jinxu Xiang, Yuyang Zhu, Rundi Wu, Ruilin Xu, Yuko Ishiwaka, Changxi Zheng ICASSP 2022 paper A realtime speech denoising system with a dynamic sliding window.
	DeepCAD: A Deep Generative Network for Computer-Aided Design Models Rundi Wu, Chang Xiao, Changxi Zheng ICCV 2021 project page \| paper \| code Using transformers to encode and decode parametric CAD modeling sequences.
	Listening to Sounds of Silence for Speech Denoising Ruilin Xu, Rundi Wu, Yuko Ishiwaka, Carl Vondrick, Changxi Zheng NeurIPS 2020 project page \| paper \| code Denoising speech signals by recovering noise from "silent" time periods.
	Multimodal Shape Completion via Conditional Generative Adversarial Networks Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen ECCV 2020 (spotlight) project page \| paper \| code Using conditional GANs to complete a partial 3D scan with multiple plausible outputs.
	PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen CVPR 2020 paper \| code \| slides Using a sequence-to-sequence network to generate 3D shapes via sequential part assembly.
	Learning Character-Agnostic Motion for Motion Retargeting in 2D Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or SIGGRAPH 2019 project page \| paper \| code \| video Transferring the video-captured motion from one performer to another by learning a character-agnostic motion representation.

Misc

I’m a great sports fan, loving snowboarding/F1/basketball/baseball/soccer.
I like playing strategy games. Europa Universails IV is my favorite.