Evaluating generative networks using Gaussian mixtures of image features
Author:
Affiliation:
1. Rice University
2. Pacific Northwest National Laboratory
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030239.pdf?arnumber=10030239
Reference41 articles.
1. Wind: Wasserstein Inception Distance For Evaluating Generative Adversarial Network Performance
2. Conditional frechet inception distance;soloveitchik,2021
3. A Wasserstein-Type Distance in the Space of Gaussian Mixture Models
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5. The Fréchet distance between multivariate normal distributions
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