49 citations · 281 across the 41 of their papers we have counts for
7 papers · 2 filters
Multi-Content GAN for Few-Shot Font Style Transfer
Samaneh Azadi, Matthew Fisher, Vladimir Kim +3
In this work, we focus on the challenge of taking partial observations of highly-stylized text and generalizing the observations to generate unobserved glyphs in the ornamented typ…
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak +4
Many image-to-image translation problems are ambiguous, as a single input image may correspond to multiple possible outputs. In this work, we aim to model a \emph{distribution} of…
Photorealistic Style Transfer with Screened Poisson Equation
Roey Mechrez, Eli Shechtman, Lihi Zelnik-Manor
Recent work has shown impressive success in transferring painterly style to images. These approaches, however, fall short of photorealistic style transfer. Even when both the input…
Training Deep Networks to be Spatially Sensitive
Nicholas Kolkin, Gregory Shakhnarovich, Eli Shechtman
In many computer vision tasks, for example saliency prediction or semantic segmentation, the desired output is a foreground map that predicts pixels where some criteria is satisfie…
Localizing Moments in Video with Natural Language
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman +3
We consider retrieving a specific temporal segment, or moment, from a video given a natural language text description. Methods designed to retrieve whole video clips with natural l…
Neural Face Editing with Intrinsic Image Disentangling
Zhixin Shu, Ersin Yumer, Sunil Hadap +3
Traditional face editing methods often require a number of sophisticated and task specific algorithms to be applied one after the other --- a process that is tedious, fragile, and…