Comments (3)
Thanks for your attention!
The main contribution of our work is to focus on the use of temporal information in videos. Video sequences are required for both the optical flow estimation and temporal sharpness prior. For this reason, the advantages of our work cannot be reflected in image deblurring.
from cdvd-tsp.
hi,
your work is great.
I just wonder can this project work for single image deblurring?
thank you
You can of course use our code to deblur single images. For such case, the optical flow, temporal sharpness prior will have no effect but the proposed cascaded training approach still help image deblurring
from cdvd-tsp.
Thank you!
from cdvd-tsp.
Related Issues (20)
- error HOT 4
- Training time HOT 6
- Getting an error when I try to do training. HOT 4
- Running Inference without GT HOT 2
- how to download PWC-Net pre-trained model? HOT 2
- 关于训练集每个video中帧数的问题
- how to change the maximum frames of single vedio ? HOT 2
- The algorithm is supervised or unsupervised? HOT 2
- Can you share your training logs?
- Error while running code HOT 1
- Refiner and Network
- Could you share the logs of the training process, please?
- AttributeError: module 'cupy' has no attribute 'util' HOT 1
- Collab
- About datasets HOT 1
- About the plot_loss HOT 1
- ModuleNotFoundError: No module named 'correlation' HOT 1
- AttributeError: module 'model.correlation' has no attribute 'FunctionCorrelation HOT 2
- how to visualize the output of TSP module and hard example mining mask
- Interested
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from cdvd-tsp.