Research map / Image generation / GANs
On the Frequency Bias of Generative Models
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Spatial Frequency Bias in Convolutional Generative Adversarial Networks (AAAI 2022 · similarity 0.93)
- FreGAN: Exploiting Frequency Components for Training GANs under Limited Data (NeurIPS 2022 · similarity 0.91)
- Fourier Spectrum Discrepancies in Deep Network Generated Images (NeurIPS 2020 · similarity 0.89)
- Leveraging Frequency Analysis for Deep Fake Image Recognition (ICML 2020 · similarity 0.89)
- On Computation and Generalization of Generative Adversarial Networks under Spectrum Control (ICLR 2019 · similarity 0.89)
- MCGAN: Enhancing GAN Training with Regression-Based Generator Loss (AAAI 2025 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.