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PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For I...
Engineering design tasks often require synthesizing new designs that meet desired performance requirements. -
DeepSVG: A hierarchical generative network for vector graphics animation
A hierarchical generative network for vector graphics animation. -
Design What You Desire: Icon Generation from Orthogonal Application and Theme...
A novel icon generation task where icons are required to be generated conditioned on both app and theme labels. -
Circular Signal with Noise and Amplitude Variation
The dataset used in the paper is a set of true images and simulated images produced by a custom simulation technique. The true images are experimental data images, and the... -
First-Order Polynomial Images
The dataset used in the paper is a set of true images and simulated images produced by a custom simulation technique. The true images are experimental data images, and the... -
Large Logo Dataset (LLD)
The Large Logo Dataset (LLD) is a large-scale logo dataset crawled from the web, containing 486,377 logos in 32x32 pixel resolution. -
Sketch Me That Shoe
Dataset for Sketch-Based Image Retrieval using Generative Adversarial Networks. -
Progressive growing of GANs
Progressive growing of GANs for improved quality, stability, and variation. -
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... -
A Style-Based Generator Architecture for Generative Adversarial Networks
A style-based generator architecture for generative adversarial networks.
