SlimToolkit helps shrink Docker images safely, keeping only required files to improve performance, speed, and storage efficiency.

Abstract: Learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the rate-distortion ...

Stage-1 Generation: The code in this stage is mainly built on the PyTorch framework. Specifically, it requires PyTorch version 1.10.0 or later, along with the ...

Abstract: Learned image compression methods have attracted great research interest and exhibited superior rate-distortion performance to the best classical image compression standards of the present.

Developed to benchmark and explore the full capabilities of the Venice.ai API, the venice-ai Python package has evolved into a comprehensive client library for developers. This library provides ...