How do Lightroom/DxO achieve such good AI denoising results?

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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.

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