A StyleGAN produces unnatural color blending in generated portraits How can you fix the artifacts

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Can you tell me A StyleGAN produces unnatural color blending in generated portraits. How can you fix the artifacts?
Feb 18 in Generative AI by Ashutosh
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To fix unnatural color blending artifacts in StyleGAN-generated portraits, apply adaptive discriminator augmentation (ADA), fine-tune with a perceptual loss, and use color consistency regularization.

Here is the code snippet you can refer to:

In the above, we are using the following key points:

  • Perceptual Loss: Uses a pre-trained VGG-16 network to compare generated and real images at feature levels.
  • Pre-trained Model for Evaluation: Extracts mid-level features from VGG-16 to measure color consistency.
  • Reference-Based Correction: Compares generated portraits with real images to refine blending.
  • Normalization and Resizing: Ensures images are in the correct format for processing.
  • Loss Computation: Computes mean squared error (MSE) loss between real and generated feature representations.

Hence, by implementing perceptual loss and adaptive augmentation, we effectively minimize unnatural color blending artifacts in StyleGAN-generated portraits, ensuring more natural and coherent outputs.

answered Feb 21 by anupam

edited Mar 6

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