JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Fil

时间 2021-01-16

标签 -- 图像画质增强 HDR 超分辨率色调映射计算机视觉深度学习栏目快乐工作繁體版

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1. 摘要使用分治策略来处理SR-iTM问题；将其分成三个任务相关的子网络：图像重建子网络（image reconstruction subnet），细节恢复子网络 (detail restoration subnet)，局部对比度增强子网络(local contrast enhancement subnet)，从而学习到一组像素级的逐像素的1维可分离卷积用于复原细节，像素级的2维局部卷积核来用

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1. Joint types and operation
2. 阅读笔记 Joint Event and Temporal Relation Extraction with Shared Representations and Structured ...
3. 论文阅读笔记--JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with UHD HDR video
4. Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
5. 【读】AttSum: Joint Learning of Focusing and Summarization with Neural Attention
6. 【阅读笔记】《Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network》（JSIS-Net）
7. 《论文阅读》Joint Demosaicing and Denoising with Self Guidance
8. 【论文解读 EMNLP 2019】Joint Event and Temporal RE with Shared Representations and Structured Prediction
9. Mix and Match: Joint Model for Clothing and Attribute Recognition
10. 5.Joint Probability Distributions and Random Samples

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