Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces
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Peter Schlicht | Fabian Hüger | Tim Fingscheidt | Jonas Löhdefink | T. Fingscheidt | Peter Schlicht | Fabian Hüger | Jonas Löhdefink
[1] Lucas Theis,et al. Lossy Image Compression with Compressive Autoencoders , 2017, ICLR.
[2] Herbert Gish,et al. Asymptotically efficient quantizing , 1968, IEEE Trans. Inf. Theory.
[3] Olgica Milenkovic,et al. Distortion-rate functions for quantized compressive sensing , 2009, 2009 IEEE Information Theory Workshop on Networking and Information Theory.
[4] Luc Van Gool,et al. Generative Adversarial Networks for Extreme Learned Image Compression , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[5] David Minnen,et al. Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] 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.
[7] Robert M. Gray,et al. An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..
[8] Léon Bottou,et al. Wasserstein GAN , 2017, ArXiv.
[9] Lubomir D. Bourdev,et al. Real-Time Adaptive Image Compression , 2017, ICML.
[10] Tim Fingscheidt,et al. On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation , 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).
[11] Jianmin Wang,et al. Deep Quantization Network for Efficient Image Retrieval , 2016, AAAI.
[12] Robert M. Gray,et al. Quantization noise spectra , 1990, IEEE Trans. Inf. Theory.
[13] David Salomon,et al. Data Compression: The Complete Reference , 2006 .
[14] Steve Branson,et al. Learned Video Compression , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[15] Xiaohua Zhai,et al. The GAN Landscape: Losses, Architectures, Regularization, and Normalization , 2018, ArXiv.
[16] Navdeep Jaitly,et al. Adversarial Autoencoders , 2015, ArXiv.
[17] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] David L. Neuhoff,et al. Quantization , 2022, IEEE Trans. Inf. Theory.
[19] Jack Xin,et al. Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets , 2019, ICLR.
[20] Valero Laparra,et al. End-to-end Optimized Image Compression , 2016, ICLR.
[21] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[22] Ganesh K. Venayagamoorthy,et al. Neural networks based non-uniform scalar quantizer design with particle swarm optimization , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[23] Andrea Vedaldi,et al. Instance Normalization: The Missing Ingredient for Fast Stylization , 2016, ArXiv.
[24] Yoshua Bengio,et al. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation , 2013, ArXiv.
[25] Houqiang Li,et al. Quantization Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] David A. Huffman,et al. A method for the construction of minimum-redundancy codes , 1952, Proceedings of the IRE.
[27] Jens-Rainer Ohm,et al. Models for Static and Dynamic Texture Synthesis in Image and Video Compression , 2011, IEEE Journal of Selected Topics in Signal Processing.
[28] David Minnen,et al. Variable Rate Image Compression with Recurrent Neural Networks , 2015, ICLR.
[29] Allen Gersho,et al. Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.
[30] Aaron C. Courville,et al. Adversarially Learned Inference , 2016, ICLR.
[31] Raymond Y. K. Lau,et al. Least Squares Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[32] R. Gray,et al. Vector quantization , 1984, IEEE ASSP Magazine.
[33] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[34] Luca Benini,et al. Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations , 2017, NIPS.
[35] Zhou Wang,et al. Multi-scale structural similarity for image quality assessment , 2003 .
[36] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[37] Jorma Rissanen,et al. Generalized Kraft Inequality and Arithmetic Coding , 1976, IBM J. Res. Dev..
[38] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[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).