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Hi, please share a WGAN code to convert synthetic images to real (with paired images) if you know. Any other vanila GAN would also be helpful.
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I guess line 35 of train_wgan.py, padding has to be 'same', valid wouldn’t work for discriminator
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In tensorflow I just do this for weights clipping:
t_vars = tf.trainable_variables()
critic_vars = [var for var in t_vars if 'crit' in var.name]
self.clip_critic = []
for var in critic_vars:
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Hello! I have been really trying hard to reproduce conditional SNGAN results on CIFAR10, recently. But I am far from the ones stated in the paper. I started coding in Pytorch, but somehow couldn't man…
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https://github.com/PaddlePaddle/models/blob/v1.5.1/PaddleCV/PaddleGAN/trainer/StarGAN.py 根据stargan 的训练模式train，加入gp_loss 可是一直报错，d_loss+=gp_loss 时候 报错 grad_op_maker_ should not be null ，好像是 gp_loss 梯度截断…
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When I run “ python trainer.py --dataset MNIST --batch_size 36 --num_dis_conv 6 --gan_type wgan-gp”， it shows error as follow：
- 问题描述：WGA…