Discover and read the best of Twitter Threads about #DivNoising
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Ops, we did it again! Image denoising just leveled up!!! arxiv.org/abs/2006.06072
Our new method can do so much more than just predicting a denoised image!
Let us take you on a short tour… (1/6) #CARE #denoising #uncertainty #diversity @Mangal_Prakash_ @sagzehn @jug_lab
Our new method can do so much more than just predicting a denoised image!
Let us take you on a short tour… (1/6) #CARE #denoising #uncertainty #diversity @Mangal_Prakash_ @sagzehn @jug_lab
What always bugged us with any CARE method is that a single restored output is created, giving the false impression that the input can unambiguously be restored. But some information gets lost in the noise, so this can obviously not strictly be true! (2/6) arxiv.org/abs/2006.06072
A #DivNoising network is trained to know how structures in the data look like and can be used to predict diverse denoised outputs. In areas of the image where the input is ambiguous, #DivNoising will sample the space of reasonable interpretations.(3/6) arxiv.org/abs/2006.06072
