Conditional Probability Models for Deep Image Compression

12 January 2018

Fabian Mentzer

E. Agustsson

Michael Tschannen

Radu Timofte

Luc Van Gool

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Papers citing "Conditional Probability Models for Deep Image Compression"

21 / 21 papers shown

Title
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression Siqi Wu Yinda Chen Dong Liu Zhihai He 117 0 0 14 Feb 2025
CANeRV: Content Adaptive Neural Representation for Video Compression Lv Tang Jun Zhu Xinfeng Zhang Li Zhang Siwei Ma Qingming Huang 133 1 0 10 Feb 2025
Enhancing Learned Image Compression via Cross Window-based Attention Priyanka Mudgal Feng Liu 42 0 0 28 Oct 2024
Code Drift: Towards Idempotent Neural Audio Codecs P. O'Reilly Prem Seetharaman Jiaqi Su Zeyu Jin Bryan Pardo 340 0 0 14 Oct 2024
FLLIC: Functionally Lossless Image Compression Xi Zhang Xiaolin Wu 82 0 0 24 Jan 2024
Semantically Structured Image Compression via Irregular Group-Based Decoupling V. Sheoran Yixin Gao Shreyansh Joshi Tanisha R. Bhayani Zhibo Chen 122 13 0 04 May 2023
Real-Time Adaptive Image Compression Oren Rippel Lubomir D. Bourdev 36 560 0 16 May 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 47 481 0 03 Apr 2017
Learning Convolutional Networks for Content-weighted Image Compression Mu Li W. Zuo Shuhang Gu Debin Zhao David C. Zhang 67 399 0 30 Mar 2017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks Nick Johnston Damien Vincent David C. Minnen Michele Covell Saurabh Singh Troy T. Chinen S. Hwang Joel Shor G. Toderici 38 372 0 29 Mar 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 57 1,050 0 01 Mar 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 71 1,701 0 05 Nov 2016
Full Resolution Image Compression with Recurrent Neural Networks G. Toderici Damien Vincent Nick Johnston S. Hwang David C. Minnen Joel Shor Michele Covell GAN 44 827 0 18 Aug 2016
End-to-end optimization of nonlinear transform codes for perceptual quality Johannes Ballé Valero Laparra Eero P. Simoncelli 93 244 0 18 Jul 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 136 2,495 0 16 Jun 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 401 2,563 0 25 Jan 2016
Variable Rate Image Compression with Recurrent Neural Networks G. Toderici Sean M. O'Malley S. Hwang Damien Vincent David C. Minnen S. Baluja Michele Covell Rahul Sukthankar 52 670 0 19 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 354 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 880 149,474 0 22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 127 2,191 0 10 Jun 2014