Qianqian Wang

I am a postdoctoral researcher at UC Berkeley, working with Prof. Angjoo Kanazawa and Prof. Alyosha Efros. Additionally, I'm a visiting researcher at Google Research. I completed my PhD in Computer Science at Cornell Tech, Cornell University with my advisors Prof. Noah Snavely and Prof. Bharath Hariharan. Before that I received my bachelor's degree from Zhejiang University, where I worked with Prof. Xiaowei Zhou.

Email / CV / Google Scholar / Twitter / Github

Research

	Emergent Correspondence from Image Diffusion Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan NeurIPS*, 2023 project page / arXiv / code
	Tracking Everything Everywhere All at Once Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely ICCV, 2023 (Best Student Paper Award) project page / arXiv / code
	Doppelgangers: Learning to Disambiguate Images of Similar Structures Ruojin Cai, Joseph Tung, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely ICCV, 2023 (Oral) project page / arXiv / code / data
	DynIBaR: Neural Dynamic Image-Based Rendering Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely CVPR, 2023 (Best Paper Honorable Mention) project page / arXiv / code
	Neural Scene Chronology Haotong Lin, Qianqian Wang, Ruojin Cai, Sida Peng, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely CVPR, 2023 project page / arXiv / code
	InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa ECCV, 2022 (Oral) project page / arXiv / code
	Neural 3D reconstruction in the wild Jiaming Sun, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely SIGGRAPH (Conference Proceedings), 2022 project page / arXiv / code
	3D Moments from Near-Duplicate Photos Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen CVPR, 2022 project page / arXiv / code
	Neural 3D Scene Reconstruction with the Manhattan-world Assumption Haoyu Guo, Sida Peng, Haotong Lin, Qianqian Wang, Guofeng Zhang, Hujun Bao, Xiaowei Zhou CVPR, 2022 (Oral) project page / arXiv / code
	Neural Rays for Occlusion-aware Image-based Rendering Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang CVPR, 2022 project page / arXiv / code
	Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, Hujun Bao ICCV, 2021 project page / code / arXiv
	IBRNet: Learning Multi-View Image-Based Rendering Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jon Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas Funkhouser CVPR, 2021 project page / code / arXiv
	PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely CVPR, 2021 project page / arXiv / code
	Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, Xiaowei Zhou CVPR, 2022 (Best Paper Candidate) project page / arXiv / code
	Learning Feature Descriptors using Camera Pose Supervision Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely ECCV, 2020 (Oral) project page / arXiv / code
	Hidden Footprints: Learning Contextual Walkability from 3d Human Trails Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely ECCV, 2020 project page / arXiv / code
	Multi-Image Semantic Matching by Mining Consistent Features Qianqian Wang, Xiaowei Zhou, Kostas Daniilidis CVPR, 2018 arXiv / code

Thank Jon Barron for sharing his website's source code.