Web: http://arxiv.org/abs/2205.01536

May 4, 2022, 1:11 a.m. | Darian Tomašević, Peter Peer, Vitomir Štruc

cs.LG updates on arXiv.org arxiv.org

Current state-of-the-art segmentation techniques for ocular images are
critically dependent on large-scale annotated datasets, which are
labor-intensive to gather and often raise privacy concerns. In this paper, we
present a novel framework, called BiOcularGAN, capable of generating synthetic
large-scale datasets of photorealistic (visible light and near infrared) ocular
images, together with corresponding segmentation labels to address these
issues. At its core, the framework relies on a novel Dual-Branch StyleGAN2
(DB-StyleGAN2) model that facilitates bimodal image generation, and a Semantic
Mask …

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