Jun-Yan Zhu

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Most Recent Affiliation(s):

MIT, Computer Science and Artificial Intelligence Laboratory (CSAIL), Postdoctoral Researcher

Other / Past Affiliation(s):

Carnegie Mellon University, Assistant Professor

UC Berkeley

Location:

Cambridge, Massachusetts, United States of America

Bio:

Jun-Yan Zhu received his B.E in Computer Sciences from Tsinghua University in 2012. He obtained his Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley in 2017 supervised by Alexei Efros, after spending five years at CMU and UC Berkeley. His Ph.D. work was supported by a Facebook Fellowship. Jun-Yan is currently a postdoctoral researcher at MIT CSAIL.

Award(s):

Experience(s):

Type: [Studio (SIGGRAPH Labs)]
Rewriting geometric rules of a GAN
Organizer(s): [Wang ] [Bau ] [Zhu ]
[SIGGRAPH 2022]

Type: [Real-Time Live!]
GauGAN: Semantic Image Synthesis with Spatially Adaptive Normalization
Developer(s): [Park ] [Liu ] [Wang ] [Zhu ]
Entry No.: [02 ]
[SIGGRAPH 2019]

Learning Category: Presentation(s):

Type: [Courses ]
Course on Diffusion Models Presenter(s): [Meng ] [Song ] [Li ] [Zhu ] [Ermon ] [Lin ] [Lin ] [Kreis ]
Entry No.: [19 ]
[SIGGRAPH 2023]

Type: [Technical Papers ]
Zero-shot Image-to-image Translation Presenter(s): [Parmar ] [Singh ] [Zhang ] [Li ] [Lu ] [Zhu ]
[SIGGRAPH 2023]

Type: [Technical Papers ]
Rewriting geometric rules of a GAN Presenter(s): [Wang ] [Bau ] [Zhu ]
[SIGGRAPH 2022]

Type: [Courses ]
Advances in Neural Rendering Organizer(s): [Tewari]
Presenter(s): [Sitzmann ] [Fried ] [Thies ] [Xu ] [Tretschk ] [Mildenhall ] [Pandey ] [Orts-Escolano ] [Fanello ] [Guo ] [Wetzstein ] [Zhu ] [Theobalt ] [Agrawala ] [Zollhöfer ]
Entry No.: [01 ]
[SIGGRAPH 2021]

Type: [Technical Papers ]
Semantic photo manipulation with a generative image prior Presenter(s): [Bau ] [Strobelt ] [Peebles ] [Wulff ] [Zhou ] [Zhu ] [Torralba ]
[SIGGRAPH 2019]

Type: [Technical Papers ]
Light field video capture using a learning-based hybrid imaging system Presenter(s): [Wang ] [Zhu ] [Kalantari ] [Efros ] [Ramamoorthi ]
[SIGGRAPH 2017]

Type: [Technical Papers ]
Real-time user-guided image colorization with learned deep priors Presenter(s): [Zhang ] [Zhu ] [Isola ] [Geng ] [Lin ] [Tianhe ] [Efros ]
[SIGGRAPH 2017]

Type: [Technical Papers ]
AverageExplorer: interactive exploration and alignment of visual data collections Presenter(s): [Zhu ] [Lee ] [Efros ]
[SIGGRAPH 2014]

Learning Category: Moderator:

Type: [Frontiers ]
Frontiers Workshop: Measurable Creative AI Presenter(s): [Allado-McDowell ] [Dinkins ] [Edwards ] [Kang ] [Leigh ]
[SIGGRAPH 2021]

Role(s):

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