Linking pages
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - eriklindernoren/Keras-GAN: Keras implementations of Generative Adversarial Networks. https://github.com/eriklindernoren/Keras-GAN 5 comments
- GANs in computer vision - semantic image synthesis and learning a generative model from a single image | AI Summer https://theaisummer.com/gan-computer-vision-semantic-synthesis/ 2 comments
- GitHub - gordicaleksa/pytorch-GANs: My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc. https://github.com/gordicaleksa/pytorch-gans 1 comment
- How I Made an AI Generate Synth1 Presets https://jamesskripchuk.com/TPDNE/ 0 comments
- GitHub - unit8co/vegans: A library providing various existing GANs in PyTorch. https://github.com/unit8co/vegans/ 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - bharathgs/Awesome-pytorch-list: A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. https://github.com/bharathgs/Awesome-pytorch-list 0 comments
- GitHub - dulaku/ProGAN-for-Humans: Pytorch code for ProGAN optimized for human reading over machine execution https://github.com/dulaku/ProGAN-for-Humans 0 comments
- Papers with Code 2021 : A Year in Review | by elvis | PapersWithCode | Medium https://medium.com/paperswithcode/papers-with-code-2021-a-year-in-review-de75d5a77b8b 0 comments
Linked pages
- GitHub - xinntao/ESRGAN: ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR. https://github.com/xinntao/ESRGAN 38 comments
- [1609.04802] Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network https://arxiv.org/abs/1609.04802 9 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- GitHub - eriklindernoren/Keras-GAN: Keras implementations of Generative Adversarial Networks. https://github.com/eriklindernoren/Keras-GAN 5 comments
- [1604.07379] Context Encoders: Feature Learning by Inpainting https://arxiv.org/abs/1604.07379 3 comments
- [1703.05192] Learning to Discover Cross-Domain Relations with Generative Adversarial Networks https://arxiv.org/abs/1703.05192 0 comments
- [1701.07875] Wasserstein GAN https://arxiv.org/abs/1701.07875 0 comments
- [1611.07004] Image-to-Image Translation with Conditional Adversarial Networks https://arxiv.org/abs/1611.07004 0 comments
- [1704.00028] Improved Training of Wasserstein GANs https://arxiv.org/abs/1704.00028 0 comments
- [1703.00848] Unsupervised Image-to-Image Translation Networks https://arxiv.org/abs/1703.00848 0 comments
- [1511.05644] Adversarial Autoencoders http://arxiv.org/abs/1511.05644 0 comments
- [1606.03657] InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets https://arxiv.org/abs/1606.03657 0 comments
- GitHub - NVlabs/MUNIT: Multimodal Unsupervised Image-to-Image Translation https://github.com/NVlabs/MUNIT 0 comments
- [1511.06434] Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks http://arxiv.org/abs/1511.06434 0 comments
- [1704.06191] Softmax GAN https://arxiv.org/abs/1704.06191 0 comments
- [1703.10593] Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks https://arxiv.org/abs/1703.10593 0 comments
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