no code implementations • ECCV 2020 • Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii
Extensions of our model allow for multi-style edits and the ability to both increase and attenuate attention in an image region.
1 code implementation • 1 Jan 2020 • Youssef Alami Mejjati, Zejiang Shen, Michael Snower, Aaron Gokaslan, Oliver Wang, James Tompkin, Kwang In Kim
We present an algorithm to generate diverse foreground objects and composite them into background images using a GAN architecture.
1 code implementation • NeurIPS 2018 • Youssef Alami Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim
Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene.