Content-Oriented Learned Image Compression

Author:

Li Meng,Gao Shangyin,Feng Yihui,Shi Yibo,Wang Jing

Publisher

Springer Nature Switzerland

Reference30 articles.

1. Agustsson, E., Tschannen, M., Mentzer, F., Timofte, R., Van Gool, L.: Generative adversarial networks for extreme learned image compression. In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 221–231 (2019). https://doi.org/10.1109/ICCV.2019.00031

2. Akutsu, H., Suzuki, A., Zhong, Z., Aizawa, K.: Ultra low bitrate learned image compression by selective detail decoding. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 524–528 (2020). https://doi.org/10.1109/CVPRW50498.2020.00067

3. Ballé, J., Laparra, V., Simoncelli, E.: End-to-end optimized image compression. In: Proceedings of the International Conference on Learning Representations (ICLR) (2017)

4. Ballé, J., Minnen, D., Singh, S., Hwang, S., Johnston, N.: Variational image compression with a scale hyperprior. In: Proceedings of the International Conference on Learning Representations (ICLR) (2018)

5. Blau, Y., Michaeli, T.: Rethinking lossy compression: the rate-distortion-perception tradeoff. In: Chaudhuri, K., Salakhutdinov, R. (eds.) Proceedings of the 36th International Conference on Machine Learning, vol. 97, pp. 675–685 (2019)

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generative Refinement for Low Bitrate Image Coding Using Vector Quantized Residual;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2024-06

2. A region-based hierarchical image compression method with simulated visual perception;Digital Signal Processing;2024-02

3. High Visual-Fidelity Learned Video Compression;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Region of Interest Enabled Learned Image Coding for Machines;2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP);2023-09-27

5. Multi-Realism Image Compression with a Conditional Generator;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3