Vector quantization, stock dips & RAMageddon – the real story behind how a memory compression algorithm went viral ...
Tap to see the prompts... Take the user supplied photo and restore it to modern quality: remove scratches, fix color, sharpen faces, etc. Reimagine this photo as a perfect editorial film photograph.
Meta Superintelligence Labs, led by Alexandr Wang, is releasing its first artificial intelligence model for image creation. Dubbed Muse Image, Meta is hoping to attract creators and advertisers. Meta ...
The open-source tool pxpipe converts long text inputs for Claude Code into compact PNGs to cut token costs. The trick works because of how Anthropic prices images. Text costs roughly one token per ...
We've decided to retire and archive this project - there's just no safe way to run Python within pyodide safely with reasonable latency. Instead, we're working hard on Monty which should solve the ...
Abstract: Lossless compression of remote sensing images is critically important for minimizing storage requirements while preserving the complete integrity of the data. The main challenge in lossless ...
Abstract: Hyperspectral images record the electromagnetic spectrum, and each hyperspectral pixel often stores hundreds of channels. Consequently, a hyperspectral image contains an order of magnitude ...
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 ...
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