Accelerating Learned Image Compression Through Modeling Neural Training Dynamics

23 May 2025

Papers citing "Accelerating Learned Image Compression Through Modeling Neural Training Dynamics"

50 / 60 papers shown

Title
Towards Practical Real-Time Neural Video Compression Zhaoyang Jia Bin Li Jiajian Li Wenxuan Xie Linfeng Qi Houqiang Li Yan Lu 58 2 0 28 Feb 2025
Balanced Rate-Distortion Optimization in Learned Image Compression Yichi Zhang Z. Duan Yuning Huang Fengqing Zhu 64 1 0 27 Feb 2025
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits Daniel Morales-Brotons Thijs Vogels Hadrien Hendrikx 139 18 0 27 Nov 2024
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model Zhening Liu Xinjie Zhang Jiawei Shao Zehong Lin Jun Zhang 49 4 0 15 Jul 2024
Revisiting Random Weight Perturbation for Efficiently Improving Generalization Tao Li Qinghua Tao Weihao Yan Zehao Lei Yingwen Wu Kun Fang Mingzhen He Xiaolin Huang AAML 74 6 0 30 Mar 2024
Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs Yichi Zhang Zhihao Duan Yuning Huang Fengqing Zhu 51 5 0 27 Mar 2024
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets Fatih Kamisli Fabien Racapé Hyomin Choi MQ 53 7 0 29 Feb 2024
Neural Video Compression with Feature Modulation Jiahao Li Bin Li Yan Lu 39 69 0 27 Feb 2024
Enhancing Neural Training via a Correlated Dynamics Model Jonathan Brokman Roy Betser Rotem Turjeman Tom Berkov I. Cohen Guy Gilboa 29 3 0 20 Dec 2023
Frequency-Aware Transformer for Learned Image Compression Han Li Shaohui Li Wenrui Dai Chenglin Li Junni Zou H. Xiong ViT 67 29 0 25 Oct 2023
Advancing The Rate-Distortion-Computation Frontier For Neural Image Compression David C. Minnen Nick Johnston 47 11 0 26 Sep 2023
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference Edouard Yvinec Arnaud Dapogny Kévin Bailly Xavier Fischer AAML 43 2 0 09 Aug 2023
ECSIC: Epipolar Cross Attention for Stereo Image Compression Matthias Wödlinger J. Kotera M. Keglevic Jan Xu Robert Sablatnig 40 10 0 18 Jul 2023
Beyond Learned Metadata-based Raw Image Reconstruction Yufei Wang Yi Yu Wenhan Yang Lanqing Guo Lap-Pui Chau Alex C. Kot Bihan Wen 62 4 0 21 Jun 2023
Lookaround Optimizer: $k$ steps around, 1 step average Jiangtao Zhang Shunyu Liu Mingli Song Tongtian Zhu Zhenxing Xu Mingli Song MoMe 67 6 0 13 Jun 2023
Dynamic Sparse Training with Structured Sparsity Mike Lasby A. Golubeva Utku Evci Mihai Nica Yani Andrew Ioannou 67 20 0 03 May 2023
Computationally-Efficient Neural Image Compression with Shallow Decoders Yibo Yang Stephan Mandt 35 24 0 13 Apr 2023
Learned Image Compression with Mixed Transformer-CNN Architectures Jinming Liu Heming Sun J. Katto 48 234 0 27 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 76 903 0 02 Mar 2023
Neural Video Compression with Diverse Contexts Jiahao Li Bin Li Yan Lu 73 147 0 28 Feb 2023
Image Reconstruction via Deep Image Prior Subspaces Riccardo Barbano Javier Antorán Johannes Leuschner José Miguel Hernández-Lobato Bangti Jin vZeljko Kereta 60 1 0 20 Feb 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay G. Wang Jiahao Li Bin Li Yan Lu 43 70 0 10 Feb 2023
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression Jiahao Li Bin Li Yan Lu 71 154 0 13 Jul 2022
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics Noga Mudrik Yenho Chen Eva Yezerets Christopher Rozell Adam S. Charles 54 16 0 07 Jun 2022
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata Seonghyeon Nam Abhijith Punnappurath Marcus A. Brubaker M. S. Brown 3DH 40 21 0 03 Jun 2022
Visual Prompt Tuning Menglin Jia Luming Tang Bor-Chun Chen Claire Cardie Serge Belongie Bharath Hariharan Ser-Nam Lim VLM VPVLM 62 1,576 0 23 Mar 2022
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding Dailan He Zi Yang Weikun Peng Rui Ma Hongwei Qin Yan Wang 40 327 0 21 Mar 2022
Temporal Context Mining for Learned Video Compression Xihua Sheng Jiahao Li Bin Li Li Li Dong Liu Yan Lu 33 148 0 27 Nov 2021
Subspace Adversarial Training Tao Li Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML OOD 69 59 0 24 Nov 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification Xiao Zhou Weizhong Zhang Zonghao Chen Shizhe Diao Tong Zhang 65 45 0 10 Nov 2021
Deep Contextual Video Compression Jiahao Li Bin Li Yan Lu 57 277 0 30 Sep 2021
Checkerboard Context Model for Efficient Learned Image Compression Dailan He Yaoyan Zheng Baochen Sun Yan Wang Hongwei Qin 35 280 0 29 Mar 2021
Modern Koopman Theory for Dynamical Systems Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 79 411 0 24 Feb 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 43 549 1 22 Dec 2020
Improving Neural Network Training in Low Dimensional Random Bases Frithjof Gressmann Zach Eaton-Rosen Carlo Luschi 41 28 0 09 Nov 2020
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research Jean Bégaint Fabien Racapé Simon Feltman Akshay Pushparaja VLM 28 421 0 05 Nov 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression David C. Minnen Saurabh Singh 32 409 0 17 Jul 2020
Optimizing Neural Networks via Koopman Operator Theory Akshunna S. Dogra William T. Redman 34 51 0 03 Jun 2020
Rigging the Lottery: Making All Tickets Winners Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen 62 597 0 25 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 69 11,959 0 13 Nov 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 72 725 0 19 Jul 2019
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model Guodong Zhang Lala Li Zachary Nado James Martens Sushant Sachdeva George E. Dahl Christopher J. Shallue Roger C. Grosse 57 150 0 09 Jul 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 49 866 0 25 Jun 2019
Are All Layers Created Equal? Chiyuan Zhang Samy Bengio Y. Singer 37 140 0 06 Feb 2019
Asymmetric Valleys: Beyond Sharp and Flat Local Minima Haowei He Gao Huang Yang Yuan ODL MLT 40 149 0 02 Feb 2019
Measuring the Intrinsic Dimension of Objective Landscapes Chunyuan Li Heerad Farkhoor Rosanne Liu J. Yosinski 52 407 0 24 Apr 2018
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 80 1,643 0 14 Mar 2018
Understanding Short-Horizon Bias in Stochastic Meta-Optimization Yuhuai Wu Mengye Ren Renjie Liao Roger C. Grosse 54 137 0 06 Mar 2018
Sensitivity and Generalization in Neural Networks: an Empirical Study Roman Novak Yasaman Bahri Daniel A. Abolafia Jeffrey Pennington Jascha Narain Sohl-Dickstein AAML 46 437 0 23 Feb 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 36 1,237 0 27 Dec 2017