You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of
Synthetic Images

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images

25 May 2023

G. Papanastasiou

Guang Yang

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Papers citing "You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images"

10 / 10 papers shown

Title
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 270 512 0 01 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 511 15,788 0 20 Dec 2021
Synthetic Data -- Anonymisation Groundhog Day Theresa Stadler Bristena Oprisanu Carmela Troncoso 78 160 0 13 Nov 2020
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 151 1,828 0 02 Jun 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 105 867 0 15 Apr 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 118 2,605 0 21 Jan 2019
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 115 1,013 0 28 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 253 5,082 0 02 Nov 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 488 9,076 0 10 Jun 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 388 25,747 0 09 Jun 2011