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Deep Parametric Shape Predictions using Distance Fields
Many tasks in graphics and vision demand machinery for converting shapes...
04/18/2019 ∙ by Dmitriy Smirnov, et al. ∙
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Making Convolutional Networks Shift-Invariant Again
Modern convolutional networks are not shift-invariant, as small input sh...
04/25/2019 ∙ by Richard Zhang, et al. ∙
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Detecting Photoshopped Faces by Scripting Photoshop
Most malicious photo manipulations are created using standard image edit...
06/13/2019 ∙ by Sheng-Yu Wang, et al. ∙
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Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
Arnab Ghosh 6:32 PM We propose an interactive GAN-based sketch-to-image ...
09/24/2019 ∙ by Arnab Ghosh, et al. ∙
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Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
We propose split-brain autoencoders, a straightforward modification of t...
11/29/2016 ∙ by Richard Zhang, et al. ∙
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Colorful Image Colorization
Given a grayscale photograph as input, this paper attacks the problem of...
03/28/2016 ∙ by Richard Zhang, et al. ∙
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Toward Multimodal Image-to-Image Translation
Many image-to-image translation problems are ambiguous, as a single inpu...
11/30/2017 ∙ by Jun-Yan Zhu, et al. ∙
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
While it is nearly effortless for humans to quickly assess the perceptua...
01/11/2018 ∙ by Richard Zhang, et al. ∙
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Stochastic Adversarial Video Prediction
Being able to predict what may happen in the future requires an in-depth...
04/04/2018 ∙ by Alex X. Lee, et al. ∙
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Real-Time User-Guided Image Colorization with Learned Deep Priors
We propose a deep learning approach for user-guided image colorization. ...
05/08/2017 ∙ by Richard Zhang, et al. ∙
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