Jun-Yan Zhu
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):
- SIGGRAPH 2018 Outstanding Doctoral Dissertation Award: Zhu
- SIGGRAPH 2019 Real-Time Live! Audience Choice: Park, Liu, Wang and Zhu
Experience(s):
![Rewriting geometric rules of a GAN](https://history.siggraph.org/wp-content/uploads/2022/09/2022-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Studio (SIGGRAPH Labs)]
Rewriting geometric rules of a GAN
Organizer(s): [Wang] [Bau] [Zhu]
[SIGGRAPH 2022]
Learning Category: Presentation(s):
![Course on Diffusion Models](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Courses-Meng_Course-on-Diffusion-Models-150x150.jpg)
Type: [Courses]
Course on Diffusion Models Presenter(s): [Meng] [Song] [Li] [Zhu] [Ermon] [Lin] [Lin] [Kreis]
Entry No.: [19]
[SIGGRAPH 2023]
![Zero-shot Image-to-image Translation](https://history.siggraph.org/wp-content/uploads/2024/02/2023_Technical-Paper_Parmar_Zero-shot-Image-to-Image-Translation-150x150.jpg)
Type: [Technical Papers]
Zero-shot Image-to-image Translation Presenter(s): [Parmar] [Singh] [Zhang] [Li] [Lu] [Zhu]
[SIGGRAPH 2023]
![Rewriting geometric rules of a GAN](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Wang_-Rewriting-Geometric-Rules-of-a-GAN-150x150.jpg)
Type: [Technical Papers]
Rewriting geometric rules of a GAN Presenter(s): [Wang] [Bau] [Zhu]
[SIGGRAPH 2022]
![Advances in Neural Rendering](https://history.siggraph.org/wp-content/uploads/2022/03/2021-1-Advances-in-Neural-Rendering-150x150.jpg)
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]
![Semantic photo manipulation with a generative image prior](https://history.siggraph.org/wp-content/uploads/2023/01/2019-Technical-Papers-Bau_Semantic-Photo-Manipulation-with-a-Generative-Image-Prior-150x150.jpg)
Type: [Technical Papers]
Semantic photo manipulation with a generative image prior Presenter(s): [Bau] [Strobelt] [Peebles] [Wulff] [Zhou] [Zhu] [Torralba]
[SIGGRAPH 2019]
![Light field video capture using a learning-based hybrid imaging system](https://history.siggraph.org/wp-content/uploads/2023/02/2017-Technical-Papers-Wang_Light-Field-Video-Capture-Using-a-Learning-Based-Hybrid-Imaging-System-150x150.jpg)
Type: [Technical Papers]
Light field video capture using a learning-based hybrid imaging system Presenter(s): [Wang] [Zhu] [Kalantari] [Efros] [Ramamoorthi]
[SIGGRAPH 2017]
Learning Category: Moderator:
Role(s):
- Awardee
- Course Presenter
- Frontiers Presenter
- Realtime Live Presenter
- Studio (SIGGRAPH Lab) Presenter
- Technical Paper Presenter
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