Image-to-Image Translation - Revision history

BPeat at 01:16, 10 April 2024

2024-04-10T01:16:14Z

BPeat: Text replacement - "* Conversational AI ... ChatGPT | OpenAI ... Bing | Microsoft ... Bard | Google ... Claude | Anthropic ... Perplexity ... You ... Ernie | Baidu" to "* Conversational AI ... [[C...

2024-03-16T15:54:33Z

BPeat at 01:05, 3 September 2023

2023-09-03T01:05:38Z

BPeat at 00:07, 13 July 2023

2023-07-13T00:07:11Z

BPeat at 17:19, 15 April 2023

2023-04-15T17:19:14Z

BPeat at 02:41, 31 March 2023

2023-03-31T02:41:11Z

BPeat: Text replacement - "BingAI" to "Bing"

2023-03-31T01:37:30Z

Text replacement - "BingAI" to "Bing"

BPeat: Text replacement - "http://" to "https://"

2023-03-28T23:25:55Z

Text replacement - "http://" to "https://"

BPeat at 02:19, 25 March 2023

2023-03-25T02:19:43Z

BPeat at 21:07, 8 March 2023

2023-03-08T21:07:07Z

@@ Line 13: / Line 13: @@
 * [[Image Classification]]
 * [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
-* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]]
+* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Grok]] | [https://x.ai/ xAI] ... [[Groq]] ... [[Ernie]] | [[Baidu]]
 * [https://github.com/weihaox/awesome-image-translation Awesome Image-To-Image Translation Papers | GitHub]

@@ Line 13: / Line 13: @@
 * [[Image Classification]]
 * [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
-* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing]] | [[Microsoft]] ... [[Bard]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[Ernie]] | [[Baidu]]
+* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]]
 * [https://github.com/weihaox/awesome-image-translation Awesome Image-To-Image Translation Papers | GitHub]

@@ Line 12: / Line 12: @@
 * [[Generative Adversarial Network (GAN)]]
 * [[Image Classification]]
-* [[Generative AI]] ... [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing]] | [[Microsoft]] ... [[Bard]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[Ernie]] | [[Baidu]]
+* [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
 * [https://github.com/weihaox/awesome-image-translation Awesome Image-To-Image Translation Papers | GitHub]

@@ Line 12: / Line 12: @@
 * [[Generative Adversarial Network (GAN)]]
 * [[Image Classification]]
-* [[Generative AI]]  ... [[Conversational AI]] ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[Bing]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]
+* [[Generative AI]] ... [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing]] | [[Microsoft]] ... [[Bard]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[Ernie]] | [[Baidu]]
 * [https://github.com/weihaox/awesome-image-translation Awesome Image-To-Image Translation Papers | GitHub]

@@ Line 12: / Line 12: @@
 * [[Generative Adversarial Network (GAN)]]
 * [[Image Classification]]
-* [[Generative AI]]  ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[Bing]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]
+* [[Generative AI]]  ... [[Conversational AI]] ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[Bing]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]
 * [https://github.com/weihaox/awesome-image-translation Awesome Image-To-Image Translation Papers | GitHub]

@@ Line 8: / Line 8: @@
 [https://www.google.com/search?q=CycleGAN ...Google search]
-* [[Generated Image]]
+* [[Video/Image]]
 * [https://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao]
 * [[Generative Adversarial Network (GAN)]]

@@ Line 5: / Line 5: @@
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query=CycleGAN YouTube search...]
+[https://www.youtube.com/results?search_query=CycleGAN YouTube search...]
-[http://www.google.com/search?q=CycleGAN ...Google search]
+[https://www.google.com/search?q=CycleGAN ...Google search]
 * [[Generated Image]]
-* [http://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao]
+* [https://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao]
 * [[Generative Adversarial Network (GAN)]]
 * [[Image Classification]]
 * [[Generative AI]]  ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[BingAI]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]
-* [http://github.com/weihaox/awesome-image-translation Awesome Image-To-Image Translation Papers | GitHub]
+* [https://github.com/weihaox/awesome-image-translation Awesome Image-To-Image Translation Papers | GitHub]
 Image-to-image translation is the controlled conversion of a given source image to a target image. Examples might be the conversion of day image to night image, or black and white photographs to color photographs.
@@ Line 24: / Line 24: @@
 * Unparied
-http://miro.medium.com/max/650/0*P-46iNsLcF2edVfn.png
+https://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]
+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. [https://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao]
-http://miro.medium.com/max/648/0*S7N84-uT_6zqrhxl.png
+https://miro.medium.com/max/648/0*S7N84-uT_6zqrhxl.png
 <youtube>8XfcDkkFbMs</youtube>
@@ Line 37: / Line 37: @@
 = 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]
+* [https://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]
+* [https://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 [https://towardsdatascience.com/image-to-image-translation-69c10c18f6ff Image-to-Image Translation | Yongfu Hao]
 <youtube>xkLtgwWxrec</youtube>
 <youtube>nB8uVGbesZ4</youtube>
-http://miro.medium.com/max/700/0*KXiC6nIcowYS5GtA.png
+https://miro.medium.com/max/700/0*KXiC6nIcowYS5GtA.png
 = pix2pix GAN =
-* [http://machinelearningmastery.com/a-gentle-introduction-to-pix2pix-generative-adversarial-network/ A Gentle Introduction to Pix2Pix Generative Adversarial Network | Jason Brownlee - Machine Learning Mastery]
+* [https://machinelearningmastery.com/a-gentle-introduction-to-pix2pix-generative-adversarial-network/ A Gentle Introduction to Pix2Pix Generative Adversarial Network | Jason Brownlee - Machine Learning Mastery]
 <youtube>u7kQ5lNfUfg</youtube>
@@ Line 57: / Line 57: @@
 = tUNIT: Truly Unsupervised Image-to-Image Translation =
-* [http://arxiv.org/abs/2006.06500 Rethinking the Truly Unsupervised Image-to-Image Translation | K. Baek, Y. Choi, Y. Uh, J. Yoo, and H. Shim - arViv.org]
+* [https://arxiv.org/abs/2006.06500 Rethinking the Truly Unsupervised Image-to-Image Translation | K. Baek, Y. Choi, Y. Uh, J. Yoo, and H. Shim - arViv.org]
-* [http://github.com/clovaai/tunit clovaai/tunit | GitHub]
+* [https://github.com/clovaai/tunit clovaai/tunit | GitHub]
 <youtube>sEG8hD64c_Q</youtube>
@@ Line 65: / Line 65: @@
 = dUNIT: Detection-Based Unsupervised Image-to-Image Translation =
-* [http://openaccess.thecvf.com/content_CVPR_2020/papers/Bhattacharjee_DUNIT_Detection-Based_Unsupervised_Image-to-Image_Translation_CVPR_2020_paper.pdf DUNIT: Detection-based Unsupervised Image-to-Image Translation | D. Bhattacharjee, S. Kim, G. Vizier, and M. Salzmann]
+* [https://openaccess.thecvf.com/content_CVPR_2020/papers/Bhattacharjee_DUNIT_Detection-Based_Unsupervised_Image-to-Image_Translation_CVPR_2020_paper.pdf DUNIT: Detection-based Unsupervised Image-to-Image Translation | D. Bhattacharjee, S. Kim, G. Vizier, and M. Salzmann]
 <youtube>ENK1ROiZPms</youtube>
@@ Line 71: / Line 71: @@
 = fUNIT: Few-Shot Unsupervised Image-to-Image Translation =
-* [http://arxiv.org/abs/1905.01723 Few-Shot Unsupervised Image-to-Image Translation | M. Liu, X. Huang, A. Mallya, T. Karras, T. Aila, J. Lehtinen, and J. Kautz]
+* [https://arxiv.org/abs/1905.01723 Few-Shot Unsupervised Image-to-Image Translation | M. Liu, X. Huang, A. Mallya, T. Karras, T. Aila, J. Lehtinen, and J. Kautz]
-* [http://nvlabs.github.io/FUNIT/ Project page | GitHub]
+* [https://nvlabs.github.io/FUNIT/ Project page | GitHub]
 Unsupervised image-to-image translation methods learn to map images in a given class to an analogous image in a different class, drawing on unstructured (non-registered) datasets of images.
@@ Line 79: / Line 79: @@
 <youtube>ANwAhuOeaiE</youtube>
-http://nvlabs.github.io/FUNIT/images/animal_8x8.gif
+https://nvlabs.github.io/FUNIT/images/animal_8x8.gif
 = UNIT: UNsupervised Image-to-image Translation =
-* [http://papers.nips.cc/paper/6672-unsupervised-image-to-image-translation-networks.pdf Unsupervised Image-to-Image Translation Networks | M. Liu, T. Breuel, and J. Kautz]
+* [https://papers.nips.cc/paper/6672-unsupervised-image-to-image-translation-networks.pdf Unsupervised Image-to-Image Translation Networks | M. Liu, T. Breuel, and J. Kautz]
-* [http://github.com/mingyuliutw/UNIT mingyuliutw/UNIT | GitHub]
+* [https://github.com/mingyuliutw/UNIT mingyuliutw/UNIT | GitHub]
 <youtube>dqxqbvyOnMY</youtube>