Richard Geldreich's Blog: Neural texture decoders can suppress DCT ringing artifacts within latent features

A neural texture codec that embeds a quantized DCT step inside its training loop can learn to suppress the mosquito/ringing artifacts typical of DCT-based (JPEG-style) compression, especially around text. Using a very low quality libjpeg Q=5 AC quantization matrix applied XUASTC/XUBC7-style to a level-0 latent's spatial values, the joint training process lets the small neural decoder (~500 weights) warp the learned representation so quantization noise falls into low-sensitivity directions, producing a clean decompressed image despite the aggressive quantization of the underlying latent.

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