Published March 6, 2025
| Version v1
Dataset
Restricted
Data for InverseBench (ICLR 2025 spotlight)
- Project leader:
- Zheng, Hongkai1
- Project members:
- Chu, Wenda1
- Wu, Ray1
- Zhang, Bingliang1
- Kovachki, Nikola2
- Sun, Yu3
- Zou, Caifeng1
- Feng, Berthy T.1
- Wang, Austin1
- Supervisors:
- Yue, Yisong1
- Bouman, Katherine L.1
- Zachary E., Ross1
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1.
California Institute of Technology
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2.
Nvidia (United States)
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3.
Johns Hopkins University
Description
Data for InverseBench (ICLR 2025 spotlight)
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
Hongkai Zheng*, Wenda Chu*, Bingliang Zhang*, Zihui Wu*, Austin Wang, Berthy T. Feng, Caifeng Zou, Yu Sun, Nikola Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue (*: Equal contribution)
- Project website: https://devzhk.github.io/InverseBench
- GitHub repo: https://github.com/devzhk/InverseBench
- Dataset card is provided in the GitHub repo.
Files
Restricted
The record is publicly accessible, but files are restricted to users with access.
Technical info
Please see the new version https://doi.org/10.22002/dn9cj-ehd72. If you need access to this specific version, please email data@caltech.edu.
Additional details
- Accepted
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2025-03-05ICLR 2025 spotlight