Generative Adversarial Networks for Extreme Learned Image Compression
暂无分享,去创建一个
Luc Van Gool | Eirikur Agustsson | Radu Timofte | Michael Tschannen | Fabian Mentzer | L. Gool | M. Tschannen | R. Timofte | E. Agustsson | Fabian Mentzer
[1] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[2] Valero Laparra,et al. End-to-end Optimized Image Compression , 2016, ICLR.
[3] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[4] Andrea Vedaldi,et al. Instance Normalization: The Missing Ingredient for Fast Stylization , 2016, ArXiv.
[5] Valero Laparra,et al. End-to-end optimization of nonlinear transform codes for perceptual quality , 2016, 2016 Picture Coding Symposium (PCS).
[6] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[7] Alberto Del Bimbo,et al. Deep Generative Adversarial Compression Artifact Removal , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Santanu Chaudhury,et al. Visual saliency guided video compression algorithm , 2013, Signal Process. Image Commun..
[9] Liming Zhang,et al. A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression , 2010, IEEE Transactions on Image Processing.
[10] Luca Benini,et al. Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations , 2017, NIPS.
[11] Jan Kautz,et al. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[12] Raymond Y. K. Lau,et al. Least Squares Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[13] David Minnen,et al. Joint Autoregressive and Hierarchical Priors for Learned Image Compression , 2018, NeurIPS.
[14] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[15] Kaiming He,et al. Mask R-CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Dimitris N. Metaxas,et al. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[17] Michael W. Marcellin,et al. JPEG2000 - image compression fundamentals, standards and practice , 2013, The Kluwer international series in engineering and computer science.
[18] Nir Shavit,et al. Generative Compression , 2017, 2018 Picture Coding Symposium (PCS).
[19] Giulia Boato,et al. RAISE: a raw images dataset for digital image forensics , 2015, MMSys.
[20] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[21] Luc Van Gool,et al. Towards Image Understanding from Deep Compression without Decoding , 2018, ICLR.
[22] Michael W. Marcellin,et al. JPEG2000 - image compression fundamentals, standards and practice , 2002, The Kluwer International Series in Engineering and Computer Science.
[23] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[24] David Minnen,et al. Full Resolution Image Compression with Recurrent Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[26] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[27] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] David Minnen,et al. Variable Rate Image Compression with Recurrent Neural Networks , 2015, ICLR.
[29] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] David Minnen,et al. Variational image compression with a scale hyperprior , 2018, ICLR.
[31] 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).
[32] Yochai Blau,et al. The Perception-Distortion Tradeoff , 2017, CVPR.
[33] Yochai Blau,et al. The Perception-Distortion Tradeoff Supplementary Material , 2018 .
[34] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[35] Léon Bottou,et al. Towards Principled Methods for Training Generative Adversarial Networks , 2017, ICLR.
[36] Stella X. Yu,et al. Image Compression Based on Visual Saliency at Individual Scales , 2009, ISVC.
[37] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[39] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Jan Kautz,et al. Unsupervised Image-to-Image Translation Networks , 2017, NIPS.
[41] Zhou Wang,et al. Multiscale structural similarity for image quality assessment , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.
[42] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[43] Lucas Theis,et al. Lossy Image Compression with Compressive Autoencoders , 2017, ICLR.
[44] Bolei Zhou,et al. Scene Parsing through ADE20K Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] David Zhang,et al. Learning Convolutional Networks for Content-Weighted Image Compression , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[46] Sebastian Nowozin,et al. f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization , 2016, NIPS.
[47] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[48] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[49] Luc Van Gool,et al. Conditional Probability Models for Deep Image Compression , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[50] Léon Bottou,et al. Wasserstein GAN , 2017, ArXiv.
[51] Lubomir D. Bourdev,et al. Real-Time Adaptive Image Compression , 2017, ICML.