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Procedural 3D Terrain Generation using Generative Adversarial Networks
A dataset of procedurally generated satellite images and their corresponding DEMs. -
Toward a Visual Concept Vocabulary for GAN Latent Space
A new method for building open-ended vocabularies of primitive visual concepts represented in a GAN's latent space. -
Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative ad...
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However,... -
Neuro-AI Interface for Evaluating Generative Adversarial Networks
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However,... -
Dog StyleGAN2-ADA
Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such... -
AnimalFace StyleGAN2-ADA
Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such... -
Generative Adversarial Networks
Generative Adversarial Networks (GANs) consist of two networks: a generator G(z) and a discriminator D(x). The discriminator is trying to distinguish real objects from objects... -
Deep Convolutional Generative Adversarial Networks
The authors used three datasets: Large-scale Scene Understanding (LSUN), Imagenet-1k, and a newly assembled Faces dataset. -
LSUN-Church
Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such...
