15 September 2018
Fashiongen Challenge

Achievements in computer vision for fashion, art and design at the “Fashion GenChallenge 2018” at the ECCV2018

An attention-driven generative network for generating fashion images conditioned on input text descriptions developed by a team comprising Mr. Kenan Emir Ak (NUS-ECE & A*STAR scholar), Dr. Ashraf A. Kassim (NUS-ECE), Dr. Lim Joo Hwee (I2R-A*STAR), Dr. Tham Jo Yew (ESP xMedia Pte. Ltd.) was ranked second overall at the recent “FashionGen challenge” organized as part of the Computer Vision for Fashion, Art and Design Workshop at the European Conference on Computer Vision 2018 (ECCV2018) in Munich, Germany (8 to 14 September 2018).

The “FashionGen challenge” jointly organized by Ssense & Element AI, is the first of its kind for ‘text-to-image synthesis’ tasks and the winners were determined after user evaluations which checked for the correlation between the text and generated images.

Top nine submissions were shortlisted from the many worldwide submissions using algorithm generated scores and these were then ranked based on user evaluations that checked for visual quality, and the correlation between the text and generated images. The figure below shows fashion images generated by our algorithm for various text descriptions.

Recent News