Comments (3)
You can refer to this repo https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
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If you want to reproduce CycleGAN results, I suggest you to directly use CycleGAN code.
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By "cycleGAN code", do you mean another repository? In the models of enlightenGAN ,there are several options, such as cycle_gan, pix2pix, pair, single and so on. Can I use CycleGAN for image enhancement based on your code? Because I saw CycleGAN in your paper to do the contrast effect of image enhancement. If I change the model argument to "cycle_gan" in the EnlightenGAN, can I use CycleGAN for image enhancement? If the code is available, I would like you to tell me the configuration of the other arguments. If not, please tell me about other repositories that use CycleGAN for image enhancement if you know. I'm sorry to bother you, but I really appreciate your code. It's very systematic. I'm trying to achieve image enhancement in a variety of ways. Thank you very much.
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Related Issues (20)
- Code for calculate NIQE HOT 1
- Problems about how to fine-tuning HOT 3
- why loss is nan
- predict.py: error: the following arguments are required: --dataroot HOT 2
- UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.
- multiprocessing error HOT 2
- Could it be posible create low-light image? HOT 1
- 请问有关于纯粹的EnlightenGAN这篇论文的代码吗?不包含其他对比算法的。 HOT 1
- train issues HOT 1
- where to place the final_dataset folder? HOT 1
- 请问在哪里修改生成图像的名称 HOT 1
- error HOT 1
- TypeError: load() missing 1 required positional argument: 'Loader' HOT 1
- The difference between D_A and D_P loss
- 训练时判别器网络报错
- 下载模型 HOT 1
- Pre-Processing for Improving Classification
- Predict the .mp4 HOT 1
- 预测时只能调用一张显卡
- Questions about training data sets HOT 2
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