Progressive multi-scale attention network for compression artifact reduction
暂无分享,去创建一个
Liuguo Yin | Guitao Li | Xinyan Zhang | Peng Gao | L. Yin | Xinyan Zhang | Peng Gao | Guitao Li
[1] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Truong Q. Nguyen,et al. Blocking artifact free inverse discrete cosine transform , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).
[3] Rui Sun,et al. S-Net: a scalable convolutional neural network for JPEG compression artifact reduction , 2018, J. Electronic Imaging.
[4] Alan C. Bovik,et al. Making a “Completely Blind” Image Quality Analyzer , 2013, IEEE Signal Processing Letters.
[5] Yun Fu,et al. Residual Non-local Attention Networks for Image Restoration , 2019, ICLR.
[6] Enhua Wu,et al. Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[8] Yunjin Chen,et al. Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Michael K. Ng,et al. Reducing Artifacts in JPEG Decompression Via a Learned Dictionary , 2014, IEEE Transactions on Signal Processing.
[10] Hongyang Chao,et al. One-To-Many Network for Visually Pleasing Compression Artifacts Reduction , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Luca Benini,et al. CAS-CNN: A deep convolutional neural network for image compression artifact suppression , 2016, 2017 International Joint Conference on Neural Networks (IJCNN).
[12] Alexia Jolicoeur-Martineau,et al. The relativistic discriminator: a key element missing from standard GAN , 2018, ICLR.
[13] Xiaoou Tang,et al. Compression Artifacts Reduction by a Deep Convolutional Network , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[14] Thomas S. Huang,et al. Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images , 2018, CVPR Workshops.
[15] Eirikur Agustsson,et al. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[16] Charless C. Fowlkes,et al. Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[18] Karen O. Egiazarian,et al. Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images , 2007, IEEE Transactions on Image Processing.
[19] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[21] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[22] Fan Zhou,et al. Implicit Dual-Domain Convolutional Network for Robust Color Image Compression Artifact Reduction , 2018, IEEE Transactions on Circuits and Systems for Video Technology.
[23] Yun Fu,et al. Image Super-Resolution Using Very Deep Residual Channel Attention Networks , 2018, ECCV.
[24] Yun Fu,et al. Residual Dense Network for Image Restoration , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Leon A. Gatys,et al. Texture Synthesis Using Convolutional Neural Networks , 2015, NIPS.
[27] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.
[28] Hongyang Chao,et al. Building Dual-Domain Representations for Compression Artifacts Reduction , 2016, ECCV.
[29] Peng Gao,et al. Accurate and Efficient Image Super-Resolution via Global-Local Adjusting Dense Network , 2021, IEEE Transactions on Multimedia.
[30] Alberto Del Bimbo,et al. Deep Generative Adversarial Compression Artifact Removal , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Changhoon Yim,et al. Quality Assessment of Deblocked Images , 2011, IEEE Transactions on Image Processing.