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View Code? Open in Web Editor NEWPyTorch implementation of Deep Convolution Networks for Compression Artifacts Reduction (ICCV 2015)
Home Page: https://arxiv.org/abs/1608.02778
PyTorch implementation of Deep Convolution Networks for Compression Artifacts Reduction (ICCV 2015)
Home Page: https://arxiv.org/abs/1608.02778
I want to know where can I find the dataset or weights path if it is possible ?
Thanks for the work. A question is that I do not understand why you train on jpeg-corrupted images while in the SRCNN paper it says that they downscale original images by upscale factor (for example, 3): "To synthesize the low-resolution samples {Yi}, we blur a sub-image by a Gaussian kernel, sub-sample it by the upscaling factor, and upscale it by the same factor via bicubic interpolation.". And I think it is the proper goal for the singe image super-resolution restoration task.
when I run main.py
, I got this error message.
Traceback (most recent call last):
File "main.py'', line 66, in <module>
inputs = inputs.to(device)
RuntimeError: CUDA error: unspecified launch failure
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