Underexposed Photo Enhancement using Deep Illumination Estimation（DeepUPE）笔记

时间 2021-01-04

标签深度学习繁體版

原文原文链接

文章：Underexposed Photo Enhancement using Deep Illumination Estimation (DeepUPE) (CVPR2019) github: https://github.com/wangruixing/DeepUPE Loss: Reconstruction Loss + Smoothness Loss + Color Loss 摘要：该文章

>>阅读原文<<

1. 阅读笔记Underexposed Photo Enhancement using Deep Illumination Estimation
2. 暗光增强论文：Underexposed Photo Enhancement using Deep Illumination Estimation翻译与解读
3. Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs
4. MyDLNote-Enhancement: [2020] Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
5. CVPR2020(Enhancement)：论文解读《Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement》
6. 【论文阅读】LIME：Low-light Image Enhancement via Illumination Map Estimation(笔记最全篇）
7. Deep photo style transfer
8. Deep Photo Style Transfer 论文笔记
9. 3D Bounding Box Estimation Using Deep Learning and Geometry
10. Joint Transmission Map Estimation and Dehazing using Deep Networks
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1. 阅读笔记Underexposed Photo Enhancement using Deep Illumination Estimation
2. 暗光增强论文：Underexposed Photo Enhancement using Deep Illumination Estimation翻译与解读
3. Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs
4. MyDLNote-Enhancement: [2020] Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
5. CVPR2020(Enhancement)：论文解读《Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement》
6. 【论文阅读】LIME：Low-light Image Enhancement via Illumination Map Estimation(笔记最全篇）
7. Deep photo style transfer
8. Deep Photo Style Transfer 论文笔记
9. 3D Bounding Box Estimation Using Deep Learning and Geometry
10. Joint Transmission Map Estimation and Dehazing using Deep Networks

>>更多相关文章<<