Feb. 2, 2024, 9:42 p.m. | Quan Huu Cap Atsushi Fukuda

cs.CV updates on arXiv.org arxiv.org

Generating medical images from human-drawn free-hand sketches holds promise for various important medical imaging applications. Due to the extreme difficulty in collecting free-hand sketch data in the medical domain, most deep learning-based methods have been proposed to generate medical images from the synthesized sketches (e.g., edge maps or contours of segmentation masks from real images). However, these models often fail to generalize on the free-hand sketches, leading to unsatisfactory results. In this paper, we propose a practical free-hand sketch-to-image generation …

applications cs.cv data deep learning domain edge free generate human image image generation images imaging maps masks medical medical imaging quality segmentation synthesized

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