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🔗 Source: personal.ie.cuhk.edu.hk
📊 Size: 15.38 MB
📄 Pages: 18 pages
⬇️ Downloads: 200

Summary

Researchers propose a novel focal frequency loss to improve image reconstruction and synthesis quality by narrowing the frequency domain gap between real and generated images. This loss function allows models to adaptively focus on hard-to-synthesize frequency components by down-weighting easy ones, complementing existing spatial losses and mitigating the loss of important frequency information due to neural network bias. Experiments demonstrate the effectiveness of focal frequency loss in improving popular models like VAE, pix2pix, and SPADE, as well as its potential to enhance state-of-the-art StyleGAN2.

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Researchers propose a novel focal frequency loss to improve image reconstruction and synthesis quality by narrowing the frequency domain gap between real and...

Technical Information

  • File Format: PDF
  • File Size: 15.38 MB
  • Pages: 18
  • Language: EN
  • Total Downloads: 200
  • Last Updated: 2 hours ago

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