activity
20162023
most citedLearning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts

116 citations · 116 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2023

VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs

Moayed Haji Ali, Andrew Bond, Tolga Birdal +4

We propose , a spatiotemporally continuous disentangled eo representation based upon GAN and Neural-s. Effective t…

cs.CV2022

Disentangling Content and Motion for Text-Based Neural Video Manipulation

Levent Karacan, Tolga Kerimoğlu, İsmail İnan +3

Giving machines the ability to imagine possible new objects or scenes from linguistic descriptions and produce their realistic renderings is arguably one of the most challenging pr…

cs.CV2018

Manipulating Attributes of Natural Scenes via Hallucination

Levent Karacan, Zeynep Akata, Aykut Erdem +1

In this study, we explore building a two-stage framework for enabling users to directly manipulate high-level attributes of a natural scene. The key to our approach is a deep gener…

cs.CV2018

Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks

Salman Ul Hassan Dar, Mahmut Yurt, Levent Karacan +3

Acquiring images of the same anatomy with multiple different contrasts increases the diversity of diagnostic information available in an MR exam. Yet, scan time limitations may pro…

cs.CV2016★ 116 cited

Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts

Levent Karacan, Zeynep Akata, Aykut Erdem +1

Automatic image synthesis research has been rapidly growing with deep networks getting more and more expressive. In the last couple of years, we have observed images of digits, ind…