mlsanityData to 7 Oct 2026

Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder

arXiv 2002.02112 ↗First posted 6 Feb 2020cs.LG cs.CV stat.MLcited by 13

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Abstract (arXiv)

We propose Unbalanced GANs, which pre-trains the generator of the generative adversarial network (GAN) using variational autoencoder (VAE). We guarantee the stable training of the generator by preventing the faster convergence of the discriminator at early epochs. Furthermore, we balance between the generator and the discriminator at early epochs and thus maintain the stabilized training of GANs. We apply Unbalanced GANs to well known public datasets and find that Unbalanced GANs reduce mode collapses. We also show that Unbalanced GANs outperform ordinary GANs in terms of stabilized learning, faster convergence and better image quality at early epochs.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Feb 2020.

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Citing papers per year: 2021: 4; 2022: 4; 2023: 2; 2024: 2; 2025: 0; 2026: 1.

13 papers.

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  1. 2021Projected GANs Converge Fastercited by 204
  2. 2022A Comprehensive Survey on Data-Efficient GANs in Image Generationcited by 20
  3. 2023Balanced Training for Sparse GANscited by 8
  4. 2021Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparisoncited by 7
  5. 2022Improved Input Reprogramming for GAN Conditioningcited by 7
  6. 2022Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performancecited by 7
  7. 2024SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptationcited by 6
  8. 2021Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative Adversarial Networkscited by 4
  9. 2021SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfercited by 1
  10. 2023ARTEMIS: Using GANs with Multiple Discriminators to Generate Artcited by 1
  11. 2024TAEGAN: Generating Synthetic Tabular Data For Data Augmentationcited by 1
  12. 2022ParaColorizer: Realistic Image Colorization using Parallel Generative Networkscited by 0
1 more
  1. 2026HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistencycited by 0