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[1] Y.-L. Chen,et al. Detecting Recompression of JPEG Images via Periodicity Analysis of Compression Artifacts for Tampering Detection , 2011, IEEE Transactions on Information Forensics and Security.
[2] Yun Fu,et al. Residual Non-local Attention Networks for Image Restoration , 2019, ICLR.
[3] Shiguang Shan,et al. AttGAN: Facial Attribute Editing by Only Changing What You Want , 2017, IEEE Transactions on Image Processing.
[4] Wenhan Yang,et al. Dmcnn: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).
[5] Jung-Woo Ha,et al. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] Manish Okade,et al. Robust first quantization matrix estimation based on filtering of recompression artifacts for non-aligned double compressed JPEG images , 2018, Signal Process. Image Commun..
[7] Luc Van Gool,et al. Designing a Practical Degradation Model for Deep Blind Image Super-Resolution , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[8] Nam Ik Cho,et al. AGARNet: Adaptively Gated JPEG Compression Artifacts Removal Network for a Wide Range Quality Factor , 2020, IEEE Access.
[9] Bernt Schiele,et al. Generative Adversarial Text to Image Synthesis , 2016, ICML.
[10] 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).
[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] Wei Su,et al. A generalized Benford's law for JPEG coefficients and its applications in image forensics , 2007, Electronic Imaging.
[13] Junbin Fang,et al. An improved parameter estimation scheme for image modification detection based on DCT coefficient analysis. , 2016, Forensic science international.
[14] Fernando Pérez-González,et al. Multiple JPEG compression detection by means of Benford-Fourier coefficients , 2014, 2014 IEEE International Workshop on Information Forensics and Security (WIFS).
[15] Bin Li,et al. MSE period based estimation of first quantization step in double compressed JPEG images , 2017, Signal Process. Image Commun..
[16] Xiao Liu,et al. STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Alessandro Piva,et al. Analysis of non-aligned double JPEG artifacts for the localization of image forgeries , 2011, 2011 IEEE International Workshop on Information Forensics and Security.
[18] Wei Wang,et al. CFSNet: Toward a Controllable Feature Space for Image Restoration , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[19] 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.
[20] Sebastiano Battiato,et al. First Quantization Matrix Estimation From Double Compressed JPEG Images , 2014, IEEE Transactions on Information Forensics and Security.
[21] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[22] Feng Wu,et al. JPEG Artifacts Reduction via Deep Convolutional Sparse Coding , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[23] Paolo Bestagini,et al. Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks , 2017, J. Vis. Commun. Image Represent..
[24] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[25] Michael Elad,et al. On Single Image Scale-Up Using Sparse-Representations , 2010, Curves and Surfaces.
[26] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[27] Alessandro Piva,et al. Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts , 2012, IEEE Transactions on Information Forensics and Security.
[28] Luc Van Gool,et al. NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[29] Mauro Barni,et al. Identification of cut & paste tampering by means of double-JPEG detection and image segmentation , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.
[30] Gregory K. Wallace,et al. The JPEG still picture compression standard , 1991, CACM.
[31] Lei Zhang,et al. FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising , 2017, IEEE Transactions on Image Processing.
[32] Xiaoou Tang,et al. Compression Artifacts Reduction by a Deep Convolutional Network , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[33] Zhe Gan,et al. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[35] Qing Wang,et al. Double JPEG compression forensics based on a convolutional neural network , 2016, EURASIP J. Inf. Secur..
[36] Taesung Park,et al. Semantic Image Synthesis With Spatially-Adaptive Normalization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Wangmeng Zuo,et al. Toward Convolutional Blind Denoising of Real Photographs , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.
[39] Thomas Lukasiewicz,et al. Controllable Text-to-Image Generation , 2019, NeurIPS.
[40] Hongyang Chao,et al. Building Dual-Domain Representations for Compression Artifacts Reduction , 2016, ECCV.
[41] 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.
[42] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[43] Wangmeng Zuo,et al. Learning a Single Convolutional Super-Resolution Network for Multiple Degradations , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[44] Ser-Nam Lim,et al. Quantization Guided JPEG Artifact Correction , 2020, ECCV.
[45] Chao Dong,et al. Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[46] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Liang Lin,et al. Multi-level Wavelet-CNN for Image Restoration , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[48] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[49] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[50] Heung-Kyu Lee,et al. Double JPEG Detection in Mixed JPEG Quality Factors Using Deep Convolutional Neural Network , 2018, ECCV.
[51] Xinpeng Zhang,et al. An improved first quantization matrix estimation for nonaligned double compressed JPEG images , 2020, Signal Process..
[52] Jiwu Huang,et al. A Novel Method for Detecting Cropped and Recompressed Image Block , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[53] Chao Dong,et al. Interactive Multi-dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration , 2019, ECCV.