How do Lightroom/DxO achieve such good AI denoising results?
I'm curious about the technical details behind the RAW denoising in Adobe Lightroom, DxO DeepPRIME, etc. What makes these propreitary solutions so much better than open-source models like RawNIND?
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Here's the RawNIND paper
https://arxiv.org/pdf/2501.08924
I'd be inclined to say that DxO could have done something similar but just spent more resources developing it.