WebMore specifically, we propose a texture transformer with four closely-related modules for image SR which achieves significant improvements over SOTA approaches. We propose a novel cross-scale feature integration module for image generation tasks which enables our approach to learn a more powerful feature representation by stacking multiple ... WebJun 21, 2024 · 对SRCA进行了定量评估与定性评估，结果如表1所示。通过表1可以看出，SRCA在Urban100和Manga109数据集上具有最佳性能，在CUFED5、Sun80上SRCA可实现与最新模型相当的性能。在基准数据集CUFED5上的结果表明所提网络与经典的SRCNN方法相比，PSNR和SSIM分别提升了1.76 dB和0.062。

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WebThe available dataset names are {DIV2K, CUFED, CUFED5}.DIV2K and CUFED datasets can be used as train data, and CUFED5 can be used as test data. The downloaded data will be placed in ./data directory.. … WebMar 26, 2024 · MASA-SR 我们的CVPR2024论文PyTorch正式实现 依存关系 Python3 火炬> = 1.1.0 火炬视觉> = 0.4.0 准备数据集 下载和 将数据集放置在以下结构中： CUFED ├── train │ ├── input │ └── ref └── test └── CUFED5 开始使用 克隆此仓 … WebWe introduce the concept of event-specific image importance. We propose a Convolutional Neural Network (CNN) based method to predict the image importance score of a given … dark souls walk through