阅读笔记：Image based relighting using neural networks

时间 2020-12-24

标签深度学习机器学习繁體版

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文章目录文献名：主要创新思想主要原理剖析及说明主要实验结果（现有原文章中的）文献名： Peiran Ren, Yue Dong, Stephen Lin, Xin Tong, and Baining Guo. 2015. Image based relighting using neural networks. ACM Trans. Graph. 34, 4, Article 111 (

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1. 阅读笔记：Image Style Transfer Using Convolutional Neural Networks
2. 论文阅读笔记（五十六）：Image Super-Resolution Using Deep Convolutional Networks
3. 《Inner Attention based Recurrent Neural Networks for Answer Selection》阅读笔记
4. 【阅读笔记】《ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks》
5. 《Improved Recurrent Neural Networks for Session-based Recommendations》 DLRS 2016 阅读笔记
6. 阅读笔记：《Computationally Efficient Neural Image Compression》
7. 论文阅读：Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks
8. Recurrent Neural Networks Tutorial阅读笔记
9. 论文阅读笔记之——《Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks》
10. 《Online Multi-Target Tracking Using Recurrent Neural Networks》阅读笔记及理解

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