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https://arxiv.org/abs/2006.11239
https://github.com/hojonathanho/diffusion
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This can allow us to split the denoising workflow into several stages and do a decode/preview in between, for example decoding after 10 steps so we can cancel the process and change seed/prompt if the…
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Hi,
Which of the methods would you use for simple and fast Image Denoising?
Thank You.
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would you like to work on the implementation of [Shape-Adaptive Transforms Filtering](http://www.cs.tut.fi/~foi/SA-DCT/)?
It looks promising it might be quite fast.
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seurat_object
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Hello David, I cannot get working SPEN denoising example. First I got an exception about `inference_net` being `nil` in `RNNInference.lua`, which I fixed somehow by setting `inference_net = nn.Identit…
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Hello SPROD author!
Tools like Tangram or gimVI can utilize scRNA-seq data to predict and impute spatial data, but they seem to be unable to denoise contaminated data. Therefore, I am considering u…
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Mentioned in #3023 but warrants its own Issue.
If we want to assess impacts of changes to denoising procedures, in terms of both performance and efficacy, we need a database of exemplar data agains…
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The machine is in 3090 platform.
Looks like that the pytorch version would be limited.
Is there any workaround for this version?
Thanks & Regards!
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Thanks for the great work! I tried using the motion denoising model on my data, but the results do not make sense. Is there any preprocessing needed for the data to run the optimization smoothly? I wo…