SDIT
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ACM-MM2019
您好,有幸阅读了您的论文,受益匪浅,现在我想用您的代码训练一个256分辨率的模型,但是当我将image_size改成256之后,出现了以下报错,希望您能指点一下: 
In your paper, you use a 800 lambda for the image reconstruction loss. but, in readme, you use a 800 lambda for the latent reconstruction loss. where should I use...
Hi, thanks for sharing this great project. Is inference with non-square HQ images possible?
when I run the following code: python main.py --mode train --dataset CelebA --celeba_image_dir data/celeba/images --attr_path data/celeba/list_attr_celeba.txt --image_size 128 --c_dim 5 --sample_dir results/samples --log_dir results/logs --model_save_dir results/models --result_dir results/results --selected_attrs Sideburns...