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A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation

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Bumps [numpy](https://github.com/numpy/numpy) from 1.17.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Bumps [pillow](https://github.com/python-pillow/Pillow) from 6.2.0 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@​radarhere, @​hugovk] Restrict builtins within...

dependencies

I read the codes and found there are some differences between the codes and paper on the loss function of the image discriminator. Why the loss function of the D-image...

Hi, just would like to know why the size of layout is fixed at 369 x 369 and is there a way to change that?

Hi,can you tell me Training parameters?such as lambda1 and .... because i train result hava big gap with your pretrain_model. thanks

Hi @ashual, is it possible to continue training using the pretrained models you uploaded? It seems like the checkpoint_with_model.pt only works for the sample_images.py script. The checkpoint only contains 'model_state'...

Hi, could you explain the configuration when calculating the Fréchet Inception Distance? Specifically: 1. Which dataset was used to calculate the mean and covariance of real world samples?All training samples(train,...

Hi, I also cannot reproduce the result using the code with the default setting. Using one P40, image size 128*128.

i train the model nealy 24 hours,but only get one tenth of the train stage ` t = 108800 / 1000000`,my device is one TITAN Xp.