xinntao / SFTGAN

CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

xinntao/SFTGAN Issues

Cannot find the train code in basic-sr.
Updated 2 years ago1
parameters of pixel_weight and use_rot in train_stfgan.json
Updated 2 years ago1
Unable to find training code of SFTGAN
Updated 2 years ago
question of code
Updated 2 years ago
Data loading speed of probability map is very slow when training SFTGAN
Updated 2 years ago
OST dataset license information
Updated 3 years ago1
How to replace a pre-trained BN layer with the SFT layer at the beginning of training
Updated 3 years ago
Evaluate the reconstruction effect of the GAN method
Updated 5 years ago3
the structure of training set
Updated 5 years ago
validation set for SFTGAN
Updated 5 years ago2
test with NIQE,MA, PI metrics
Updated 5 years ago2
training time
Updated 5 years ago1
How to train the segmentation model
Closed 5 years ago1
I have the following problem when I use my own test image.
Updated 5 years ago
"manually change the probability map to each category"
Updated 5 years ago3
hello, i am curious about whether do you have not use any activate functions in the generator network?
Closed 6 years ago11
what's the upscaling factor of SFTGAN model?
Updated 5 years ago4
Question
Updated 5 years ago2
Have you tried using a semantic map instead of a probability map?
Updated 5 years ago4
Training code reqest
Closed 5 years ago
generating segmentation probability mapping
Closed 6 years ago2
Hi Xintao, Can you give me your result that you apply your approach on the dataset set5, set14 and BSD 100, I want to quote your paper and results on these dataset in my paper, ok?
Closed 6 years ago2
Do you have the tensorflow version of the code?
Closed 6 years ago2
Pytorch version run in windows
Closed 6 years ago
Open source training code request
Closed 6 years ago
hi about SFT layer
Closed 6 years ago1
Hi , i am very interested in your work.
Closed 6 years ago2
hi
Closed 6 years ago