Junhao Liu
@junhaoliu.bsky.social
Reposted by Junhao Liu
We present InverseBench for benchmarking plug-and-play diffusion approaches for inverse problems in physical sciences.
PnP diffusion approaches are attractive for scientific inverse problems because they can flexibly incorporate domain-specific models.
Website: devzhk.github.io/InverseBench/
PnP diffusion approaches are attractive for scientific inverse problems because they can flexibly incorporate domain-specific models.
Website: devzhk.github.io/InverseBench/
March 14, 2025 at 4:26 PM
We present InverseBench for benchmarking plug-and-play diffusion approaches for inverse problems in physical sciences.
PnP diffusion approaches are attractive for scientific inverse problems because they can flexibly incorporate domain-specific models.
Website: devzhk.github.io/InverseBench/
PnP diffusion approaches are attractive for scientific inverse problems because they can flexibly incorporate domain-specific models.
Website: devzhk.github.io/InverseBench/