What Appears Appealing May Not be Significant! -- A Clinical Perspective of Diffusion Models
<|reference_start|>What Appears Appealing May Not be Significant! -- A Clinical Perspective of Diffusion Models: Various trending image generative techniques, such as diffusion models, have enabled visually appealing outcomes with just text-based descriptions. Unlike general images, where assessing the quality and alignment with text descriptions is trivial, establishing such a relation in a clinical setting proves challenging. This work investigates various strategies to evaluate the clinical significance of synthetic polyp images of different pathologies. We further explore if a relation could be established between qualitative results and their clinical relevance.<|reference_end|>
@article{sharma2024what,
    title={What Appears Appealing May Not be Significant! -- A Clinical Perspective
  of Diffusion Models},
    author={Vanshali Sharma},
    journal={arXiv preprint arXiv:2407.10029},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.10029},
    primaryClass={cs.CV}
}