Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression

4 March 2022

Papers citing "Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression"

9 / 9 papers shown

Title
Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model Shoma Iwai Tomo Miyazaki S. Omachi 34 11 0 27 May 2024
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression Wei Jiang Jiayu Yang Yongqi Zhai Feng Gao Ronggang Wang 32 32 0 28 Jul 2023
AICT: An Adaptive Image Compression Transformer Ahmed Ghorbel W. Hamidouche L. Morin ViT 11 4 0 12 Jul 2023
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression Ahmed Ghorbel W. Hamidouche L. Morin 16 0 0 05 Jul 2023
Exploring Effective Mask Sampling Modeling for Neural Image Compression Lin Liu Mingming Zhao Shanxin Yuan Wenlong Lyu Wen-gang Zhou Houqiang Li Yanfeng Wang Qi Tian 11 3 0 09 Jun 2023
Learned Image Compression with Mixed Transformer-CNN Architectures Jinming Liu Heming Sun J. Katto 10 220 0 27 Mar 2023
Multistage Spatial Context Models for Learned Image Compression Fangzheng Lin Heming Sun Jinming Liu J. Katto 12 13 0 18 Feb 2023
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 251 618 0 21 May 2021
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 238 578 0 12 Mar 2020