Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression-Reference-Cited by-同舟云学术

Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression

Author:

Balcilar Muhammet¹,Damodaran Bharath¹,Hellier Pierre¹

Affiliation:

1. InterDigital, Inc.,Rennes,France

Publisher

IEEE

Link

Reference26 articles.

1. Inference suboptimality in variational autoencoders;cremer;ICML,2018

2. Block-optimized variable bit rate neural image compression;aytekin;CVPR Workshop,2018

3. Content adaptive and error propagation aware deep video compression;lu;ECCV,2020

4. Content adaptive optimization for neural image compression;campos;CVPR Workshops,2019

5. Improving inference for neural image compression;yang;Advances in neural information processing systems,2020

Cited by 4 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

2. Latent-Shift: Gradient of Entropy Helps Neural Codecs;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

4. Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression;2022 IEEE International Conference on Visual Communications and Image Processing (VCIP);2022-12-13