Workshop and challenge papers

Y. Chen, Q. Yuan, X. wu, Z. Zhang, and Y. Feng
MCM: Multi-channel Context Model for Entropy in Generative Image Compression
4th Challenge on Learned Image Compression, 2021
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C.-P. Chang, C.-H. Lin, W.-H. Peng, and H.-M. Hang
Learned Inter-frame Compression for CLIC 2021
4th Challenge on Learned Image Compression, 2021
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Y. Ma, Y. Zhai, J. Yang, C. Yang, and R. Wang
ROI Perceptual Metric
4th Challenge on Learned Image Compression, 2021
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J. B├ęgaint, F. Racape, S. Feltman, and A. Pushparaja
Hierarchical Temporal Structure for End-to-End Neural Network-based Video Compression
4th Challenge on Learned Image Compression, 2021
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D. Alexandre, W.-H. Peng, and H.-M. Hang
Learning-based Video Coding for CLIC 2021
4th Challenge on Learned Image Compression, 2021
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D. Alexandre, W.-H. Peng, and H.-M. Hang
Hybrid Video Coding for CLIC 2021
4th Challenge on Learned Image Compression, 2021
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J. Liu, S. Sun, Y. Lu, X. Li, and Z. Chen
Learned Dual Perceptual Image Similarity for Compressed Image
4th Challenge on Learned Image Compression, 2021
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P. Philippe and T. Ladune
Coding standards as anchors for the CVPR CLIC video track
4th Challenge on Learned Image Compression, 2021
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T. Ladune, P. Philippe, W. Hamidouche, L. Zhang, and O. Deforges
Conditional Coding and Variable Bitrate for Practical Learned Video Coding
4th Challenge on Learned Image Compression, 2021
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C. Wu
Approach of Team HHC: A Method for Low Bitrate Image Compression
4th Challenge on Learned Image Compression, 2021
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T. Fu, Z. Cheng, J. Hu, L. Guo, S. Wang, X. Zhao, D. Zhou, and Y. Song
Quality enhancement of VVC intra-frame coding based on HGRDN
4th Challenge on Learned Image Compression, 2021
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S. Gao, Y. Shi, T. Guo, Z. Qiu, Y. Ge, Z. Cui, Y. Feng, J. Wang, et al.
Perceptual Learned Image Compression With Continuous Rate Adaptation
4th Challenge on Learned Image Compression, 2021
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G. Gao, R. Pan, P. You, S. Han, Y. Zhang, and H. Lee
Attentional Multi-scale Back Projection Network for Low Bit-rate Image Compression
4th Challenge on Learned Image Compression, 2021
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A. Lytchier, J. Xu, C. Finlay, C. Cursio, V. Koshkina, C. Besenbruch, and A. Zafar
Perceptually-Guided Lossy Image Compression
4th Challenge on Learned Image Compression, 2021
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Z. Guo, R. Feng, Y. Wu, and Z. Chen
Improved Neural Image Compression: A New Two-Stage Quantization Strategy
4th Challenge on Learned Image Compression, 2021
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J. Zhang, X. Zeng, Z. Li, X. Hu, N. Wang, and D. Zhang
An Adaptive In-Loop Filter based on Neural Network for Video Coding
4th Challenge on Learned Image Compression, 2021
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J. Zhao, B. Li, J. Li, R. Xiong, and Y. Lu
A Universal Encoder Rate Distortion Optimization Framework for Learned Compression
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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Z. Huang, K. Lin, C. Jia, S. Wang, and S. Ma
Beyond VVC: Towards Perceptual Quality Optimized Video Compression Using Multi-Scale Hybrid Approaches
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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B. Brummer and C. D. Vleeschouwer
End-to-End Optimized Image Compression With Competition of Prior Distributions
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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N. Zou, H. Zhang, F. Cricri, H. R. Tavakoli, J. Lainema, E. Aksu, M. Hannuksela, and E. Rahtu
Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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Y. Peng, J. Xu, Z. Luo, W. Zhou, and Z. Chen
Multi-Metric Fusion Network for Image Quality Assessment
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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Y. Wu, Z. Qi, H. Zheng, L. Tao, and W. Gao
Deep Image Compression With Latent Optimization and Piece-Wise Quantization Approximation
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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X. Wang, T. Chen, and Z. Ma
Subjective Quality Optimized Efficient Image Compression
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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K. Islam, L. M. Dang, S. Lee, and H. Moon
Image Compression With Recurrent Neural Network and Generalized Divisive Normalization
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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Y. Ma, Y. Zhai, C. Yang, J. Yang, R. Wang, J. Zhou, K. Li, Y. Chen, et al.
Variable Rate ROI Image Compression Optimized for Visual Quality
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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S. Katakol, L. Herranz, F. Yang, and M. Mrak
DANICE: Domain Adaptation Without Forgetting in Neural Image Compression
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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Y.-H. Ho, C.-C. Chan, W.-H. Peng, and H.-M. Hang
End-to-End Learned Image Compression With Augmented Normalizing Flows
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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A. Suzuki, H. Akutsu, T. Naruko, K. Tsubota, and K. Aizawa
Learned Image Compression With Super-Resolution Residual Modules and DISTS Optimization
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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Y. Gao, Y. Wu, Z. Guo, Z. Zhang, and Z. Chen
Perceptual Friendly Variable Rate Image Compression
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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C. D. K. Pham, C. Fu, and J. Zhou
Deep Learning Based Spatial-Temporal In-Loop Filtering for Versatile Video Coding
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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Z. Cheng, T. Fu, J. Hu, L. Guo, S. Wang, X. Zhao, D. Zhou, and Y. Song
Perceptual Image Compression Using Relativistic Average Least Squares GANs
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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F. Brand, K. Fischer, and A. Kaup
Rate-Distortion Optimized Learning-Based Image Compression Using an Adaptive Hierachical Autoencoder With Conditional Hyperprior
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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S. Iwai, T. Miyazaki, Y. Sugaya, and S. Omachi
Self Texture Transfer Networks for Low Bitrate Image Compression
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
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