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Synthesizing High-Resolution Images with StyleGAN2
Developed by NVIDIA Researchers, StyleGAN2 yields state-of-the-art results in data-driven unconditional generative image modeling.
generative-adversarial-networks stylegan stylegan2 nvidia
Selfie2Anime with TFLite
An end-to-end tutorial with TensorFlow Lite for Selfie2Anime (U-GAT-IT).
computer-vision generative-adversarial-networks deep-learning tensorflow
SimpleGAN
A Tensorflow-based framework to ease the training of generative models
computer-vision generative-adversarial-networks tensorflow deep-learning
6 GAN Architectures You Really Should Know
Some of the most popular GAN architectures, particularly 6 architectures that you should know to have a diverse coverage on GANs.
generative-adversarial-networks survey tutorial article
Adversarial Latent Autoencoders
Introducing the Adversarial Latent Autoencoder (ALAE), a general architecture that can leverage recent improvements on GAN training procedures.
autoencoders generative-adversarial-networks latent-space disentanglement
Big GANs Are Watching You
We demonstrate that object saliency masks for GAN-produced images can be obtained automatically with BigBiGAN.
generative-adversarial-networks unet object-saliency big-gan
GANSpace: Discovering Interpretable GAN Controls
This paper describes a simple technique to analyze Generative Adversarial Networks (GANs) and create interpretable controls for image synthesis.
generative-adversarial-networks image-generation interpretability interpretable-gans
Cycle Text-To-Image GAN with BERT
Image generation from their respective captions, building on state-of-the-art GAN architectures.
generative-adversarial-networks bert transformers image-to-text
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