IEEE

Exploring Multimodal Knowledge for Image Compression via Large Foundation Models

Abstract: Knowledge is an abstraction of factual principles of the physical world. Large foundation models encapsulate extensive multimodal knowledge into the parameters and thus invoke machine ...
GitHub

Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion

wget https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-ema-pruned.ckpt --no-check-certificate -P ./weight Modify the configuration ...
GitHub

A command-line bridge tool that orchestrates external image generation commands to convert text/code strings to images.

You need to install the actual image generation tools that you want to use. laminate will fail if the required external commands are not available in your PATH. The ...
PC Magazine

Pay $79 Once and Remove AI Limits Across Writing, Coding, and Images

Pay $79 Once and Remove AI Limits Across Writing, Coding, and Images Score unlimited access to GPT-4o, Claude, Gemini, and more for a one-time fee at an 87% discount.
Scientific Research Publishing

P. G. Howard and J. S. Vitter, “Arithmetic Coding for Data Compression,” Proceedings of the IEEE, Vol. 82, No. 6, 1994, pp. 857-865. doi:10.1109/5.286189

ABSTRACT: This paper presents a new method of lossless image compression. An image is characterized by homogeneous parts. The bit planes, which are of high weight are characterized by sequences of 0 ...
IEEE

Learned Image Compression Via Local-to-Global Cross-Component Prior

Abstract: Learned image compression (LIC) methods have shown promising results and achieved superior performance compared to traditional image compression methods. Due to the neglect of the ...