Comments (3)
Are you talking about comparison? Yes we failed to train context encoder 256x256 or 512x512 by adding one more layer in generator or discriminator so cannot compare directly. I asked the authors and they say it may need to use patch gan or other techniques. So we thought the best way to compare is to use the output of context encoder 128 and directly upsample it.
from faster-high-res-neural-inpainting.
Can you explain how to do the upsample?
from faster-high-res-neural-inpainting.
bilinear (something like imresize)
from faster-high-res-neural-inpainting.
Related Issues (20)
- TensorFlow Implementation HOT 2
- You should refreash your citation. HOT 1
- I have problems with running the code with input images of 256*256. HOT 1
- What's the meaning of `N(i) is the set of neighboring locations of i `? HOT 1
- Handling Inapinting for Non Center Region HOT 1
- In your model, you use fully-connected layers instead of channel-wise fully-connected layers. Is there any reason.
- what is the original size of the street view image in test set ? HOT 5
- Unknown image x in the paper HOT 3
- attempt to call method 'cl'[...]
- Irregular mask is NOT ok?
- Is the model VGG_ILSVRC_19_layers.caffemodel same for any dataset? HOT 2
- Recontructed output obtained for a Paris image is not as clear HOT 4
- Neuron trained with Human face data fails to execute in this code
- nvcc fatal : Unsupported gpu architecture 'compute_75' HOT 1
- 实在看不懂论文里面的x到底是什么... HOT 3
- I'm sorry to bother you,but I have some questions
- 数据集
- one image needs 30 seconds on GPU?
- how to run demo with Windows10?
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