TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation

16 Jan 2024  ·  Wei Jiang, Yongqi Zhai, Hangyu Li, Ronggang Wang ·

This short paper describes our method for the track of image compression. To achieve better perceptual quality, we use the adversarial loss to generate realistic textures, use region of interest (ROI) mask to guide the bit allocation for different regions. Our Team name is TLIC.

PDF Abstract

Code
Add Remove Mark official

No code implementations yet. Submit your code now

Datasets

  Add Datasets introduced or used in this paper

Results from the Paper
Add Remove

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods
Add Remove

No methods listed for this paper. Add relevant methods here
Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA.
Terms Data policy Cookies policy