Search Results for author: Minyoung Huh

Found 8 papers, 5 papers with code

The Low-Rank Simplicity Bias in Deep Networks

1 code implementation18 Mar 2021 Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola

We show empirically that our claim holds true on finite width linear and non-linear models on practical learning paradigms and show that on natural data, these are often the solutions that generalize well.

Image Classification

Transforming and Projecting Images into Class-conditional Generative Networks

2 code implementations4 May 2020 Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann

We present a method for projecting an input image into the space of a class-conditional generative neural network.

Translation

Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks

no code implementations CVPR 2019 Minyoung Huh, Shao-Hua Sun, Ning Zhang

We propose feedback adversarial learning (FAL) framework that can improve existing generative adversarial networks by leveraging spatial feedback from the discriminator.

Image-to-Image Translation Translation

Fighting Fake News: Image Splice Detection via Learned Self-Consistency

3 code implementations ECCV 2018 Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros

In this paper, we propose a learning algorithm for detecting visual image manipulations that is trained only using a large dataset of real photographs.

Image Forensics

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