CLIC · Challenge on Learned Image Compression

Publications

V. Veerabadran, R. Pourreza, A. Habibian, and T. S. Cohen
Adversarial Distortion for Learned Video Compression
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020
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T. van Rozendaal, G. Sautiere, and T. S. Cohen
Lossy Compression With Distortion Constrained Optimization
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020
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B. Brummer and C. de Vleeschouwer
Adapting JPEG XS Gains and Priorities to Tasks and Contents
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020
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J. Zhou, A. Nakagawa, K. Kato, S. Wen, K. Kazui, and Z. Tan
Variable Rate Image Compression Method With Dead-Zone Quantizer
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020
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X. Li, S. Sun, Z. Zhang, and Z. Chen
Multi-scale Grouped Dense Network for VVC Intra Coding
3rd Challenge on Learned Image Compression, 2020
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X. Wu, Z. Zhang, J. Feng, L. Zhou, and J. Wu
End-to-end Optimized Video Compression with MV-Residual Prediction
3rd Challenge on Learned Image Compression, 2020
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W. Park, S. Ki, and M. Kim
The factsheet of Deep Video Compression based on the Context-Adaptive Entropy Model for P-frame Compression
3rd Challenge on Learned Image Compression, 2020
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W. Gao, L. Tao, L. Zhou, D. Yang, X. Zhang, and Z. Guo
Low-rate Image Compression with Super-resolution Learning
3rd Challenge on Learned Image Compression, 2020
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H. Sun, C. Liu, J. Katto, and Y. Fan
An Image Compression Framework with Learning-based Filter
3rd Challenge on Learned Image Compression, 2020
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Y.-H. Ho, C.-C. Chan, D. Alexandre, W.-H. Peng, and C.-P. Chang
P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion Estimation
3rd Challenge on Learned Image Compression, 2020
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G. He, C. Wu, L. Li, J. Zhou, X. Wang, Y. Zheng, B. Yu, and W. Xie
A Video Compression Framework Using an Overfitted Restoration Neural Network
3rd Challenge on Learned Image Compression, 2020
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D. Alexandre and H.-M. Hang
Residual Coding with Learning-based Post Processing
3rd Challenge on Learned Image Compression, 2020
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R. C. d. Silva, N. D. Guerin Jr., P. Sanches, H. C. Jung, E. Peixoto, B. Macchiavello, E. M. Hung, V. Testoni, et al.
Joint motion and residual information latent representation for P-frame coding
3rd Challenge on Learned Image Compression, 2020
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J. Lee, D. Kim, Y. Kim, H. Kwon, J. Kim, and T. Lee
A Training Method for Image Compression Networks to Improve Perceptual Quality of Reconstructions
3rd Challenge on Learned Image Compression, 2020
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N. Zou, H. Zhang, F. Cricri, H. R. Tavakoli, J. Lainema, E. Aksu, M. Hannuksela, and E. Rahtu
End-to-End Learning for Video Frame Compression with Self-Attention
3rd Challenge on Learned Image Compression, 2020
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J. Yang, C. Yang, Y. Ma, S. Liu, and R. Wang
Learned Low Bit-rate Image Compression with Adversarial Mechanism
3rd Challenge on Learned Image Compression, 2020
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W.-C. Lee and H.-M. Hang
A Hybrid Image Codec with Learned Residual Coding
3rd Challenge on Learned Image Compression, 2020
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Y. Qian, Z. Tan, H. Chen, M. Lin, X. Sun, and H. Li
Entended Variable Rate Image Compression With a Context Entropy Model
3rd Challenge on Learned Image Compression, 2020
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Y. Kim, S. Cho, J. Lee, S.-Y. Jeong, J. S. Choi, and J. Do
Towards the Perceptual Quality Enhancement of Low Bit-rate Compressed Images
3rd Challenge on Learned Image Compression, 2020
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Z. Wang, R.-L. Liao, and Y. Ye
Joint Learned and Traditional Video Compression for P Frame
3rd Challenge on Learned Image Compression, 2020
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Y. Hu, H. Ma, D. Liu, and J. Liu
Compression Artifact Removal with Ensemble Learning of Neural Networks
3rd Challenge on Learned Image Compression, 2020
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J. Xu, A. Lytchier, C. Cursio, D. Kollias, C. Besenbruch, and A. Zafar
Efficient Context-Aware Lossy Image Compression
3rd Challenge on Learned Image Compression, 2020
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H. Tao, J. Qian, L. Yu, H. Wang, W. Zhang, Z. Li, N. Wang, and X. Zeng
Post-Processing Network Based on Dense Inception Attention for Video Compression
3rd Challenge on Learned Image Compression, 2020
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Z. Cheng, H. Sun, and J. Katto
Low Bitrate Image Compression with Discretized Gaussian Mixture Likelihoods
3rd Challenge on Learned Image Compression, 2020
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M. M. Ho, J. Zhou, G. He, M. Li, and L. Li
SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion Compensation
3rd Challenge on Learned Image Compression, 2020
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T. Guo, J. Wang, Z. Cui, Y. Feng, Y. Ge, and B. Bai
Variable Rate Image Compression with Content Adaptive Optimization
3rd Challenge on Learned Image Compression, 2020
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R. Feng, Y. Wu, Z. Guo, Z. Zhang, and Z. Chen
Learned Video Compression with Feature-level Residuals
3rd Challenge on Learned Image Compression, 2020
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H. Akutsu, A. Suzuki, Z. Zhong, and K. Aizawa
Ultra Low Bitrate Learned Image Compression by Selective Detail Decoding
3rd Challenge on Learned Image Compression, 2020
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Z. Guo, Y. Wu, R. Feng, Z. Zhang, and Z. Chen
3-D Context Entropy Model for Improved Practical Image Compression
3rd Challenge on Learned Image Compression, 2020
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M. Li, Y. Zhang, C. Xia, J. Zan, Z. Huang, D. Chen, G. Li, and J. Nie
Improve Image Codec’s Performance By Variating Post Enhancing Neural Network
3rd Challenge on Learned Image Compression, 2020
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