尽管Transformer可以视作空间可变卷积的变种,但空间不变卷积有助于提升SwinIR的平移不变形; 残差连接为不同模块到重建模块提供了等效连接,促进了不同层级特征的聚合。 Swin Transformer layer. Swin Transformer Layer(STL)基于原始Transformer中的标准多头自注意力演变而来,主要区别体现在于局部注意力与移位窗口机制。前述...
Teams: University of W¨urzburg;MegaStudyEdu Writers: Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte PDF:Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration Abstract Compression plays an important role on the efficient transmission and storage of images and...
we love and admire the work your doing :) Recently we tested SwinV2 capabilities for image restoration, compression artifacts removal and super-resolution. The properties it brings are amazing! we can achieve similar results toSwinIRyet with half training time. Here we leave our paper and result...
Since the complex hybrid distortions, it is hard to restore the distorted image with the simple cooperation of super-resolution and compression artifacts removing. In this paper, we take a step forward to propose the Hierarchical Swin Transformer (HST) network to restore the low-resolution ...
for image restoration. Second, the restored image may introduce border artifacts around each patch. While this problem can be alleviated by patch overlapping, it would introduce extra computational burden. 作为CNN的一个替代品,transformer设计了一个自注意力机制来获取内容之间全局交互的信息,并且在多种视觉...
Video Super-ResolutionMSU Super-Resolution for Video CompressionSwinIR + vvencBSQ-rate over ERQA6.624# 31 Compare BSQ-rate over Subjective Score1.35# 20 Compare BSQ-rate over VMAF0.887# 15 Compare BSQ-rate over PSNR8.971# 48 Compare BSQ-rate over MS-SSIM5.758# 66 ...
摘要: A novel image compression framework named STSIC is proposed for both human and machine tasks.The scalable image coding framework is employed in STSIC.Swin-Transformer is used as the backbone of STSIC.A feature fusion strategy is proposed to improve the performance of STSIC.关键词: ...
compressioncomputer-visiondeep-learningjpegimage-processingtransformersuper-resolutionimage-denoisingimage-restorationdenoisingimage-super-resolutionntirelow-level-visiondeblockingvision-transformercompression-artifact-reductionswinirimage-sreccv2022swin2sr Resources ...
In this paper, we propose a strong baseline model SwinIR for image restoration based on the Swin Transformer. SwinIR consists of three parts: shallow feature extraction, deep feature extraction and high-quality image reconstruction. In particular, the deep feature extraction module is composed of ...
Aug. 16, 2022: Add PlayTorch Demo on running the real-world image SR model on mobile devices . Aug. 01, 2022: Add pretrained models and results on JPEG compression artifact reduction for color images. Jun. 10, 2022: See our work on video restorationVRT: A Video Restoration Transformer ...