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MambaIC: State Space Models for High-Performance Learned Image Compression

16 March 2025

Papers citing "MambaIC: State Space Models for High-Performance Learned Image Compression"

33 / 33 papers shown

Title
TR-DQ: Time-Rotation Diffusion Quantization Yihua Shao Deyang Lin Fanhu Zeng Minxi Yan Hao Fei ... Haozhe Wang Jiaxin Guo Yan Wang Haotong Qin Hao Tang MQ DiffM 136 3 0 09 Mar 2025
VMamba: Visual State Space Model Yue Liu Yunjie Tian Yuzhong Zhao Hongtian Yu Lingxi Xie Yaowei Wang Qixiang Ye Jianbin Jiao Yunfan Liu Mamba 282 696 0 31 Dec 2024
MambaVision: A Hybrid Mamba-Transformer Vision Backbone Ali Hatamizadeh Jan Kautz Mamba 129 70 0 10 Jul 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States Yu Sun Xinhao Li Karan Dalal Jiarui Xu Arjun Vikram ... Xinlei Chen Xiaolong Wang Sanmi Koyejo Tatsunori Hashimoto Carlos Guestrin 119 110 0 05 Jul 2024
Dimba: Transformer-Mamba Diffusion Models Zhengcong Fei Mingyuan Fan Changqian Yu Debang Li Youqiang Zhang Junshi Huang Mamba 88 19 0 03 Jun 2024
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Tri Dao Albert Gu Mamba 114 532 0 31 May 2024
MambaVC: Learned Visual Compression with Selective State Spaces Shiyu Qin Jinpeng Wang Yimin Zhou Bin Chen Tianci Luo Baoyi An Tao Dai Shu-Tao Xia Yaowei Wang Mamba 94 13 0 24 May 2024
VmambaIR: Visual State Space Model for Image Restoration Yuan Shi Bin Xia Xiaoyu Jin Xing Wang Tianyu Zhao Xin Xia Xuefeng Xiao Wenming Yang 90 57 0 18 Mar 2024
LocalMamba: Visual State Space Model with Windowed Selective Scan Tao Huang Xiaohuan Pei Shan You Fei Wang Chao Qian Chang Xu Mamba 84 151 0 14 Mar 2024
Vivim: a Video Vision Mamba for Medical Video Object Segmentation Yijun Yang Zhaohu Xing Chunwang Huang Lei Zhu 62 37 0 25 Jan 2024
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model Lianghui Zhu Bencheng Liao Qian Zhang Xinlong Wang Wenyu Liu Xinggang Wang Mamba 105 768 0 17 Jan 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces Albert Gu Tri Dao Mamba 148 2,757 0 01 Dec 2023
PPT: Token Pruning and Pooling for Efficient Vision Transformers Xinjian Wu Fanhu Zeng Xiudong Wang Xinghao Chen ViT 57 27 0 03 Oct 2023
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression Wei Jiang Jiayu Yang Yongqi Zhai Feng Gao Ronggang Wang 104 34 0 28 Jul 2023
RWKV: Reinventing RNNs for the Transformer Era Bo Peng Eric Alcaide Quentin G. Anthony Alon Albalak Samuel Arcadinho ... Qihang Zhao P. Zhou Qinghua Zhou Jian Zhu Rui-Jie Zhu 227 607 0 22 May 2023
Learned Image Compression with Mixed Transformer-CNN Architectures Jinming Liu Heming Sun J. Katto 88 237 0 27 Mar 2023
Hungry Hungry Hippos: Towards Language Modeling with State Space Models Daniel Y. Fu Tri Dao Khaled Kamal Saab A. Thomas Atri Rudra Christopher Ré 122 403 0 28 Dec 2022
Long Range Language Modeling via Gated State Spaces Harsh Mehta Ankit Gupta Ashok Cutkosky Behnam Neyshabur Mamba 104 242 0 27 Jun 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 74 330 0 21 Mar 2022
The Devil Is in the Details: Window-based Attention for Image Compression Renjie Zou Chunfeng Song Zhaoxiang Zhang ViT 43 217 0 16 Mar 2022
Entroformer: A Transformer-based Entropy Model for Learned Image Compression Yichen Qian Ming Lin Xiuyu Sun Zhiyu Tan Rong Jin ViT 69 140 0 11 Feb 2022
Transformer-based Image Compression Ming Lu Peiyao Guo Huiqing Shi Chuntong Cao Zhan Ma ViT 94 106 0 12 Nov 2021
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 217 1,814 0 31 Oct 2021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers Albert Gu Isys Johnson Karan Goel Khaled Kamal Saab Tri Dao Atri Rudra Christopher Ré 130 606 0 26 Oct 2021
Checkerboard Context Model for Efficient Learned Image Compression Dailan He Yaoyan Zheng Baochen Sun Yan Wang Hongwei Qin 77 283 0 29 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 670 41,369 0 22 Oct 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression David C. Minnen Saurabh Singh 69 412 0 17 Jul 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 144 18,179 0 28 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 79 1,278 0 08 Sep 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,363 0 12 Jun 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 98 1,713 0 05 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015