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Hi, I would like to apply this model for image super-resolution or restoration. Specifically, I want to try enhancing images that are blurred due to adverse weather conditions. Maybe this should be fe…
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This issue is coming during inference phase of this model for every image
File "/home/mepluser1/rahul_hanot/try_new/DocDiff/model/DocDiff.py", line 315, in forward
x = torch.cat((x, s), …
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Thanks for your contribution!
The paper “Motion Aware Event Representation-driven Image Deblurring” is now available.
The code link: https://github.com/ZhijingS/DA_event_deblur
The paper link will …
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This is a very nice approach,thanks for the clear paper and code. We have some 3D widefield fluorescence data that it would be great to try your approach on.
Do you have any plans to extend the model…
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Hello, this is an excellent job. When I was reading your paper, I didn’t quite understand the setting of degree in the article. Did you change the setting in WattsStrogatz.m and adjacency.m to make th…
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Your work is very interesting! Thank you so much!
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Hi authors,
thank you for this great work! I was wondering if this method could easily be adapted to large latent diffusion models like stable diffusion and on diverse datasets like imagenet and lai…
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##### System information (version)
- OpenCV => master (4.2.x)
- Operating System / Platform => Linux 64 Bit
- Compiler => gcc9
##### Detailed description
I try to import a dnn model from torc…
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Hi, when I run selfdeblur for GOPRO data, I have the runtime error.
RuntimeError: CUDA out of memory. Tried to allocate 530.75 MiB (GPU 0; 8.00 GiB total capacity; 4.17 GiB already allocated; 323.22 …