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Few-shot image translation method working on unstructured environments. ECCV 2022

License: Apache License 2.0

Python 100.00%
few-shot few-shot-learning image-to-image-translation gan gans generative-adversarial-network generative-model conditional-gan one-shot-learning one-shot image-translation image-processing eccv computer-vision cvpr eccv2022

manifest's Issues

How to train our own dataset?

Very solid work!I have some questions,

1.How to train our own dataset?Can you give some examples? Or a training script? For example, we have some normal images and some foggy images. How to train them?

2.If we only have a 2080TI GPU, can we finish the training?

Thank you.

How long for training in a single GPU?

Hi, authors!

Thanks for your excellent work. I would like to know how long it takes to train your model on a single GPU (e.g., 3090Ti).

Besides, I would like to know if you have tested the inference speed and FLOPs on high-resolution (e.g., 2k) images. How is your computational efficiency compared with the previous state-of-the-art?

Ask for the Supplemenntary Materials of this paper

Hello, sorry for disturbing you!

I saw some details in the article that will be presented in the supplementary materials, but I did not find them on the internet. Therefore, I would like to request that you provide the supplementary materials for this article.

I‘m much obliged to you for helping me.

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