March 26, 2024, 4:46 a.m. | Jia-Wei Liao, Winston Wang, Tzu-Sian Wang, Li-Xuan Peng, Cheng-Fu Chou, Jun-Cheng Chen

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.15878v1 Announce Type: new
Abstract: QR codes, prevalent in daily applications, lack visual appeal due to their conventional black-and-white design. Integrating aesthetics while maintaining scannability poses a challenge. In this paper, we introduce a novel diffusion-model-based aesthetic QR code generation pipeline, utilizing pre-trained ControlNet and guided iterative refinement via a novel classifier guidance (SRG) based on the proposed Scanning-Robust Loss (SRL) tailored with QR code mechanisms, which ensures both aesthetics and scannability. To further improve the scannability while preserving aesthetics, …

arxiv code code generation cs.cv diffusion guidance qr code robust type via

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