9 citations · 14 across the 2 of their papers we have counts for
9 papers
Text-based Editing of Talking-head Video
Ohad Fried, Ayush Tewari, Michael Zollhöfer +7
Editing talking-head video to change the speech content or to remove filler words is challenging. We propose a novel method to edit talking-head video based on its transcript to pr…
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…
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…
Preserving Color in Neural Artistic Style Transfer
Leon A. Gatys, Matthias Bethge, Aaron Hertzmann +1
This note presents an extension to the neural artistic style transfer algorithm (Gatys et al.). The original algorithm transforms an image to have the style of another given image.…