WebFeb 10, 2024 · In this paper, we mainly use CUFED5 as the training set in our experiments, it consists of a combination of 11871 training image pairs, each of which contains an original HR image and a reference image with 160 \(\times \) 160 resolution. To validate the generalization capacity of our model, we test it on three popular benchmarks: CUFED5 ... WebJun 25, 2024 · Extensive experiments demonstrate that our proposed C 2 -Matching significantly outperforms state of the arts by over 1dB on the standard CUFED5 …
Towards Content-Independent Multi-Reference Super-Resolution …
WebNov 3, 2024 · The CUFED5 testing set has 126 input images and each image has 4 reference images with different similarity levels. For fair comparisons, all models are trained on the training set of CUFED5. To evaluate the generalization ability, we test our model on the CUFED5 testing set, Urban100 , Manga109 , Sun80 and WR-SR . The Sun80 and … Web格式为png、jpg,宽度*高度大于1920*100像素,不超过2mb,主视觉建议放在右侧,请参照线上博客头图. 请上传大于1920*100像素的图片! north lincolnshire 5 year housing land supply
Pretrained model on CUFED5 · Issue #19 · Tengfei-Wang/DCSR
WebCUFED5 is described in detail. The results of both quanti-tative and qualitative evaluations are presented in Section 5. Finally, Section 6 concludes this paper. 2. Related Works 2.1. Deep Learning based SISR In recent years, deep learning based SISR has shown su-perior performance in terms of either PSNR or visual qual- WebNov 17, 2024 · Yes! There should be 3 ref_encoderx , 3 resx, 3 fusionx, 3 decoderx, 4 fusion1x, 4 alphax and 4 aax. Each module should adds one. For CUFED5, it is 4x SR, … WebSep 23, 2024 · 结果表明,在标准的 CUFED5 基准上,C2-Matching 明显优于现有技术,超过 1dB。值得注意的是,它在WR-SR 数据集上也显示出它极强的泛化能力,以及对大尺度和旋转变换的鲁棒性。 作者 Yuming Jiang, Kelvin C.K. Chan, Xintao Wang, Chen Change Loy, Ziwei Liu 单位 南洋理工大学&腾讯PCG north lincoln hospital lab