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If you want to mess around with neural JPEG artifact reduction, the tiny C++ library I handed off to Codex for integration is here: richgel999/jpegc_deblock "A 7x7-window MLP (52 inputs: the luma window as differences from the centre, the centre's luma, the 8x8 block phase, the quality factor; hidden 32 and 16, leaky ReLU; one linear output) that predicts a luma correction added to R, G and B, equivalent to a Y-only correction in YCbCr. Trained by finite differences on 514 PNGs round-tripped through baseline JPEG at qualities 30..95. On held-out images it gains about +0.95 dB luma PSNR at quality 30, +0.9 at 40, +0.7 at 80. About 20 Mpx/s on 32 threads, 1.6 Mpx/s on one."