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Simple Tensorflow implementation of "Semantic Image Synthesis with Spatially-Adaptive Normalization" a.k.a. GauGAN, SPADE (CVPR 2019 Oral)

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I am new to this, Please help me to make the spade.py to load the checkpoint. I have downloaded the file and placed it in a folder called checkpoint in...

Hi, Thanks for all the hard work. I was wondering how one would add support for multi-gpu training. I see that in SPADE.py we do a pre-fetch to the GPU...

The effect produced is different from the original image.E.G There is color difference in the generated picture. Is it possible to add partial image generation?

Hi, Thanks very much for this wonderful repository. I will like to understand how you process the segmentation maps as it is currently not available in the code.

Hi there, Was wondering whether the version of TF being used could be specified; I see that tf.contrib is being used so it doesn't seem to be TF 2.0, but...

Hello. What is the training setting that was used for the Cityscapes example? The default batchsize of this code is 1, while the paper used 32. Also, is did removing...

Hi Junho, Really a great work and I was very happy to try out your implementation. However, I notice a potential problem for the path name matching in the `Image_data`...

Hi, thanks for the awesome work you've done! Is it necessary to use the image_encoder model when training the entire model? I tried to generate image only with random noise...