Disparity-based Stereo Image Compression with Aligned Cross-View Priors

Author:

Zhai Yongqi1,Tang Luyang1,Ma Yi1,Peng Rui1,Wang Ronggang1

Affiliation:

1. Peking University, Shenzhen, China

Funder

Shenzhen Cultivation of Excellent Scientific and Technological Innovation Talents

Shenzhen Research Projects

National Natural Science Foundation of China

Publisher

ACM

Reference65 articles.

1. Eirikur Agustsson , Fabian Mentzer , Michael Tschannen , Lukas Cavigelli , Radu Timofte , Luca Benini , and Luc Van Gool . 2017. Soft-to-hard vector quantization for end-to-end learning compressible representations. arXiv preprint arXiv:1704.00648 ( 2017 ). Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, and Luc Van Gool. 2017. Soft-to-hard vector quantization for end-to-end learning compressible representations. arXiv preprint arXiv:1704.00648 (2017).

2. Generative Adversarial Networks for Extreme Learned Image Compression

3. Johannes Ballé Valero Laparra and Eero P Simoncelli. 2017. End-to-end Optimized Image Compression. (2017). Johannes Ballé Valero Laparra and Eero P Simoncelli. 2017. End-to-end Optimized Image Compression. (2017).

4. Johannes Ballé , David Minnen , Saurabh Singh , Sung Jin Hwang, and Nick Johnston . 2018 . Variational image compression with a scale hyperprior. arXiv preprint arXiv:1802.01436 (2018). Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, and Nick Johnston. 2018. Variational image compression with a scale hyperprior. arXiv preprint arXiv:1802.01436 (2018).

5. InStereo2K: a large real dataset for stereo matching in indoor scenes

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1. BSSIC: Stereo Image Compression Based on Block Shift;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Improving Multi-generation Robustness of Learned Image Compression;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07

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