You're currently viewing an old version of this dataset. To see the current version, click here.

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation

A new GAN-based interactive image generation system for drawing objects from scratch that: 1) generates full images given partial user strokes (or sketches); 2) serves as a recommender system that suggests or helps the user during their creative process to help them generate a desired image; and 3) uses a single conditional GAN model for multiple image classes, via a gating-based conditioning mechanism.

Data and Resources

This dataset has no data

Cite this as

Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman (2025). Dataset: Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. https://doi.org/10.57702/4hqis72i

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	January 3, 2025
Last update	January 3, 2025
Defined In	https://doi.org/10.48550/arXiv.1909.11081
Author	Arnab Ghosh
More Authors	Richard Zhang Puneet K. Dokania Oliver Wang Alexei A. Efros Philip H. S. Torr Eli Shechtman
Homepage	https://arxiv.org/abs/1903.11193