Difference between revisions of "Image-to-Image Translation"
| Line 8: | Line 8: | ||
[http://www.google.com/search?q=CycleGAN ...Google search] | [http://www.google.com/search?q=CycleGAN ...Google search] | ||
| − | + | ||
* [[Generated Image]] | * [[Generated Image]] | ||
* [[http://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao] | * [[http://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao] | ||
| + | * [[Generative Adversarial Network (GAN)]] | ||
| − | + | <youtube>sIkUzmgUaxc</youtube> | |
| − | + | <youtube>NsPMlDsRCkM</youtube> | |
Approaches: | Approaches: | ||
* Paired | * Paired | ||
* Unparied | * Unparied | ||
| + | |||
| + | http://miro.medium.com/max/650/0*P-46iNsLcF2edVfn.png | ||
| + | |||
| + | = StarGAN = | ||
| + | |||
| + | Existing image to image translation approaches have limited scalability and robustness in handling more than two domains, since different models should be built independently for every pair of image domains. StarGAN is a novel and scalable approach that can perform image-to-image translations for multiple domains using only a single model. [http://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao] | ||
| + | |||
| + | http://miro.medium.com/max/648/0*S7N84-uT_6zqrhxl.png | ||
| + | |||
| + | <youtube>8XfcDkkFbMs</youtube> | ||
| + | <youtube>nB8uVGbesZ4</youtube> | ||
= CycleGAN = | = CycleGAN = | ||
* [http://www.semanticscholar.org/paper/Unpaired-Image-to-Image-Translation-Using-Networks-Zhu-Park/c43d954cf8133e6254499f3d68e45218067e4941 Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | J. Zhu, T. Park, P. Isola, and A. Efros - Semantic Scholar] | * [http://www.semanticscholar.org/paper/Unpaired-Image-to-Image-Translation-Using-Networks-Zhu-Park/c43d954cf8133e6254499f3d68e45218067e4941 Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | J. Zhu, T. Park, P. Isola, and A. Efros - Semantic Scholar] | ||
| + | |||
* [http://towardsdatascience.com/cyclegan-learning-to-translate-images-without-paired-training-data-5b4e93862c8d CycleGAN: Learning to Translate Images (Without Paired Training Data) | Sarah Wolf - Towards Data Science] | * [http://towardsdatascience.com/cyclegan-learning-to-translate-images-without-paired-training-data-5b4e93862c8d CycleGAN: Learning to Translate Images (Without Paired Training Data) | Sarah Wolf - Towards Data Science] | ||
An approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples [http://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao] | An approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples [http://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao] | ||
| − | |||
| − | |||
<youtube>xkLtgwWxrec</youtube> | <youtube>xkLtgwWxrec</youtube> | ||
| Line 31: | Line 42: | ||
http://miro.medium.com/max/700/0*KXiC6nIcowYS5GtA.png | http://miro.medium.com/max/700/0*KXiC6nIcowYS5GtA.png | ||
| + | |||
| + | |||
| + | = pix2pix = | ||
| + | |||
| + | <youtube>8XfcDkkFbMs</youtube> | ||
| + | <youtube>nB8uVGbesZ4</youtube> | ||
| + | |||
| + | |||
| + | = UNIT = | ||
| + | |||
| + | <youtube>8XfcDkkFbMs</youtube> | ||
| + | <youtube>nB8uVGbesZ4</youtube> | ||
Revision as of 08:10, 19 July 2020
YouTube search... ...Google search
Approaches:
- Paired
- Unparied
Contents
StarGAN
Existing image to image translation approaches have limited scalability and robustness in handling more than two domains, since different models should be built independently for every pair of image domains. StarGAN is a novel and scalable approach that can perform image-to-image translations for multiple domains using only a single model. Image-to-Image Translation | Yongfu Hao
CycleGAN
An approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples Image-to-Image Translation | Yongfu Hao
pix2pix
UNIT
