Scientists crack Wordle code using information theory, and it works 99% of the time

If you have been trying to beat Wordle every day and failing more often than you would like to admit, science might finally ...
GitHub

Ultra-Low Bitrate Perceptual Image Compression with Shallow Encoder

Outperforms advanced methods in terms of rate-distortion-perception performance. Delivers exceptional encoding efficiency for 35.8 FPS@1080P Maintains competitive decoding speed compared to existing ...
GitHub

TensorFlow Compression

TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...
IEEE

Discrete Wavelet Transform-Based Gaussian Mixture Model for Remote Sensing Image Compression

Abstract: High-ratio image compression is difficult because remote sensing images have complex backgrounds and rich information, and the correlation between features is weak. An accurate entropy model ...
IEEE

Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard

Abstract: Context-based adaptive binary arithmetic coding (CABAC) as a normative part of the new ITU-T/ISO/IEC standard H.264/AVC for video compression is presented. By combining an adaptive binary ...