Bereavement 发表于 2025-3-30 08:28:13
Progressive Evolution from Single-Point to Polygon for Scene Texte attained 86% of the accuracy relative to training with ground truth (GT); 3) Additionally, the proposed Point2Polygon can be seamlessly integrated to empower single-point spotters to generate polygons. This integration led to an impressive 82.5% accuracy for the generated polygons. It is worth menbypass 发表于 2025-3-30 12:44:55
More and Less: Enhancing Abundance and Refining Redundancy for Text-Prior-Guided Scene Text Image Suequired in the reconstruction of LR text images, which can well resolve information loss and generate more accurate super-resolution text images. Our proposed method consistently outperforms baselines employing text recognizers ASTER, MORAN, and CRNN by 1–2. on TextZoom, and achieves impressive gain易受骗 发表于 2025-3-30 16:31:39
http://reply.papertrans.cn/29/2849/284814/284814_53.pngCRACY 发表于 2025-3-30 23:11:10
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GARDEN: Generative Prior Guided Network for Scene Text Image Super-Resolutionn, leading to more efficient learning of both texture generation and text recovery. In addition, GARDEN introduces multi-scale sequential residual block (MS-SRB), a simple, efficient, and flexible structure for achieving the maximal utilization of generative priors. By leveraging enriched generativedandruff 发表于 2025-3-31 10:43:35
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