Deep Generative Filter for motion deblurring 论文解读
"Deep Generative Filter for motion deblurring"(用于消除运动模糊的深度生成网络)是2017年9月挂到arXiv上的一篇论文，论文连接： https://arxiv.org/abs/1709.03481 摘要 由于相机抖动导致的运动模糊由于其本身的病态属性，一直是计算机视觉领域一个具有挑战性的问题。在3D空间中，相机和被拍摄物体之间的相对运动
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相关文章
- 1. 读论文：Scale-recurrent Network for Deep Image Deblurring
- 2. 【图像去模糊】《Blur-Invariant Deep Learning for Blind-Deblurring》论文阅读
- 3. CVPR 2017 Deep representation learning for human motion prediction and classification 论文解读
- 4. 论文阅读：Deep Stacked Hierarchical Multi-patch Network for Image Deblurring
- 5. Region-Adaptive Dense Network for Efficient Motion Deblurring论文笔记
- 6. 论文笔记：《DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks》
- 7. [论文解读] Concolic Testing for Deep Neural Networks
- 8. [论文解读]Test Selection for Deep Learning Systems
- 9. [论文解读]Towards Improved Testing For Deep Learning
- 10. 论文阅读：Deep Filter Banks for Texture Recognition and Segmentation