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JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Fil
時間 2021-01-16
標籤
-- 圖像畫質增強
HDR
超分辨率
色調映射
計算機視覺
深度學習
欄目
快樂工作
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1. 摘要 使用分治策略來處理SR-iTM問題;將其分成三個任務相關的子網絡:圖像重建子網絡(image reconstruction subnet),細節恢復子網絡 (detail restoration subnet),局部對比度增強子網絡(local contrast enhancement subnet),從而學習到一組像素級的逐像素的1維可分離卷積用於復原細節,像素級的2維局部卷積核來用
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相關文章
1.
Joint types and operation
2.
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3.
論文閱讀筆記--JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with UHD HDR video
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【讀】AttSum: Joint Learning of Focusing and Summarization with Neural Attention
6.
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