Hacker News
- Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks https://junyanz.github.io/CycleGAN/ 135 comments
- Where is the learned data stored after training? https://junyanz.github.io/CycleGAN/ 6 comments learnmachinelearning
Linking pages
- These New Tricks Can Outsmart Deepfake Videos—for Now | WIRED https://www.wired.com/story/these-new-tricks-can-outsmart-deepfake-videosfor-now 158 comments
- Generating custom photo-realistic faces using AI | by Shaobo GUAN | Insight https://blog.insightdatascience.com/generating-custom-photo-realistic-faces-using-ai-d170b1b59255 119 comments
- Why Tool AIs Want to Be Agent AIs · Gwern.net http://www.gwern.net/Tool%20AI 58 comments
- GitHub - junyanz/pytorch-CycleGAN-and-pix2pix: Image-to-Image Translation in PyTorch https://github.com/junyanz/pytorch-cyclegan-and-pix2pix 36 comments
- GAN — What is Generative Adversarial Networks GAN? | by Jonathan Hui | Medium https://medium.com/@jonathan_hui/gan-whats-generative-adversarial-networks-and-its-application-f39ed278ef09 14 comments
- Building a GAN with PyTorch. Realistic Images Out of Thin Air? | by Ta-Ying Cheng | Towards Data Science https://taying-cheng.medium.com/building-a-gan-with-pytorch-237b4b07ca9a 7 comments
- GitHub - taesungp/contrastive-unpaired-translation: Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch) https://github.com/taesungp/contrastive-unpaired-translation 5 comments
- For AI to Get Creative, It Must Learn the Rules--Then How to Break 'Em - Scientific American https://www.scientificamerican.com/article/for-ai-to-get-creative-it-must-learn-the-rules-mdash-then-how-to-break-lsquo-em/ 4 comments
- Artificial Intelligence Is Killing the Uncanny Valley and Our Grasp on Reality | WIRED https://www.wired.com/story/future-of-artificial-intelligence-2018/ 3 comments
- Deepfake maps could really mess with your sense of the world | Ars Technica https://arstechnica.com/gadgets/2021/05/deepfake-maps-could-really-mess-with-your-sense-of-the-world/ 2 comments
- Deepfake Maps Could Really Mess With Your Sense of the World | WIRED https://www.wired.com/story/deepfake-maps-mess-sense-world 2 comments
- Projecting Climate Change Into Photos With Generative Adversarial Networks - Unite.AI https://www.unite.ai/projecting-climate-change-into-photos-with-generative-adversarial-networks/ 1 comment
- Turning Fortnite into PUBG with Deep Learning (CycleGAN) | by Chintan Trivedi | Towards Data Science https://towardsdatascience.com/turning-fortnite-into-pubg-with-deep-learning-cyclegan-2f9d339dcdb0 1 comment
- Why Tool AIs Want to Be Agent AIs · Gwern.net https://www.gwern.net/Tool-AI 1 comment
- GitHub - junyanz/CycleGAN: Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more. https://github.com/junyanz/CycleGAN 1 comment
- GitHub - jackaduma/CycleGAN-VC2: Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2 https://github.com/jackaduma/CycleGAN-VC2 1 comment
- Do GANs Dream of Fake Images?. A deep-dive into image forensics: the… | by Gidi Shperber | Towards Data Science https://medium.com/@gidishperber/do-gans-dream-of-fake-images-4372b0777a2d 1 comment
- Gender and Race Change on Your Selfie with Neural Nets | by johnkorn | HackerNoon.com | Medium https://medium.com/@johnkorn/gender-and-race-change-on-your-selfie-with-neural-nets-9a9a1c9c5c16 1 comment
- Train a Deep Neural Network to Recognize Real and Fake Human Faces https://debuggercafe.com/train-a-deep-neural-network-to-recognize-real-and-fake-human-faces/ 1 comment
- GANs in computer vision - Conditional image synthesis and 3D object generation | AI Summer https://theaisummer.com/gan-computer-vision-object-generation/ 0 comments
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