3 papers
cs.CV2021
GAN-Control: Explicitly Controllable GANs
Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky +1
We present a framework for training GANs with explicit control over generated images. We are able to control the generated image by settings exact attributes such as age, pose, exp…
cs.CV2018
Adversarial Feedback Loop
Firas Shama, Roey Mechrez, Alon Shoshan +1
Thanks to their remarkable generative capabilities, GANs have gained great popularity, and are used abundantly in state-of-the-art methods and applications. In a GAN based model, a…
cs.CV2018
Dynamic-Net: Tuning the Objective Without Re-training for Synthesis Tasks
Alon Shoshan, Roey Mechrez, Lihi Zelnik-Manor
One of the key ingredients for successful optimization of modern CNNs is identifying a suitable objective. To date, the objective is fixed a-priori at training time, and any variat…