AI RESEARCH
Progressively Texture-Aware Diffusion for Contrast-Enhanced Sparse-View CT
arXiv CS.CV
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ArXi:2604.11559v1 Announce Type: new Diffusion-based sparse-view CT (SVCT) imaging has achieved remarkable advancements in recent years, thanks to its stable generative capability. However, recovering reliable image content and visually consistent textures is still a crucial challenge. In this paper, we present a Progressively Texture-aware Diffusion (PTD) model, a coarse-to-fine learning framework tailored for SVCT. Specifically, PTD comprises a basic reconstructive module PTD$_{\textit{rec}}$ and a conditional diffusion module PTD$_{\textit{diff