March 15, 2024, 4:46 a.m. | Anees Ur Rehman Hashmi, Ibrahim Almakky, Mohammad Areeb Qazi, Santosh Sanjeev, Vijay Ram Papineni, Dwarikanath Mahapatra, Mohammad Yaqub

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.09240v1 Announce Type: cross
Abstract: Large-scale generative models have demonstrated impressive capacity in producing visually compelling images, with increasing applications in medical imaging. However, they continue to grapple with the challenge of image hallucination and the generation of anatomically inaccurate outputs. These limitations are mainly due to the sole reliance on textual inputs and lack of spatial control over the generated images, hindering the potential usefulness of such models in real-life settings. We present XReal, a novel controllable diffusion model …

arxiv cs.cv diffusion diffusion model eess.iv pathology ray type via x-ray xreal

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