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20162022
most citedToward Multimodal Image-to-Image Translation

1k citations · 2.9k across the 19 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 44 cited

CNN-generated images are surprisingly easy to spot... for now

Sheng-Yu Wang, Oliver Wang, Richard Zhang +2

In this work we ask whether it is possible to create a "universal" detector for telling apart real images from these generated by a CNN, regardless of architecture or dataset used.…

cs.CV2019★ 16 cited

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation

Arnab Ghosh, Richard Zhang, Puneet K. Dokania +4

We propose an interactive GAN-based sketch-to-image translation method that helps novice users create images of simple objects. As the user starts to draw a sketch of a desired obj…

cs.CV2019★ 27 cited

Detecting Photoshopped Faces by Scripting Photoshop

Sheng-Yu Wang, Oliver Wang, Andrew Owens +2

Most malicious photo manipulations are created using standard image editing tools, such as Adobe Photoshop. We present a method for detecting one very popular Photoshop manipulatio…

cs.CV2019★ 378 cited

Making Convolutional Networks Shift-Invariant Again

Richard Zhang

Modern convolutional networks are not shift-invariant, as small input shifts or translations can cause drastic changes in the output. Commonly used downsampling methods, such as ma…

cs.GR2019

Deep Parametric Shape Predictions using Distance Fields

Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim +2

Many tasks in graphics and vision demand machinery for converting shapes into consistent representations with sparse sets of parameters; these representations facilitate rendering,…