Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork

2 code implementations • 31 Aug 2017 • Wei Ren Tan, Chee Seng Chan, Hernan Aguirre, Kiyoshi Tanaka

Qualitatively, we demonstrate that ArtGAN is able to generate plausible-looking images on Oxford-102 and CUB-200, as well as able to draw realistic artworks based on style, artist, and genre.

Conditional Image Generation Generative Adversarial Network

ArtGAN: Artwork Synthesis with Conditional Categorical GANs

4 code implementations • 11 Feb 2017 • Wei Ren Tan, Chee Seng Chan, Hernan Aguirre, Kiyoshi Tanaka

This paper proposes an extension to the Generative Adversarial Networks (GANs), namely as ARTGAN to synthetically generate more challenging and complex images such as artwork that have abstract characteristics.

Art Analysis Conditional Image Generation

A Fusion Approach for Efficient Human Skin Detection

no code implementations • 14 Oct 2014 • Wei Ren Tan, Chee Seng Chan, Pratheepan Yogarajah, Joan Condell

A reliable human skin detection method that is adaptable to different human skin colours and illu- mination conditions is essential for better human skin segmentation.