多模态深度网络用于 JPEG 伪影降噪（英文版）

英文标题：Multi-Modality Deep Network for JPEG Artifacts Reduction中文摘要：本文提出一种基于多模态融合学习的文本引导下的 JPEG 压缩伪影降低方法，通过从全局和局部角度融合图像和文本语义特征，并基于对比学习构建对比损失函数，能够在极低码率下有效降低 JPEG 压缩伪影。经过实验证明，该方法能够获得比现有技术更好的降低伪影效果。英文摘要：In recent years, many convolutional neural network-based models are designedfor JPEG artifacts reduction, and have achieved notable progress. However, fewmethods are suitable for extreme low-bitrate image compression artifactsreduction. The main challenge is that the highly compressed image loses toom