2026
DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
ICLR 2026poster
Diffusion models have recently emerged as powerful priors for solving inverse problems. While computed tomography (CT) is theoretically a linear inverse problem, it poses many practical challenges. These include correlated noise, artifact structures, reliance on system geometry, and misaligned value…