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pixel-loss

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johnamit / gan-inversion-evaluation

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An evaluation of popular optimisation-based and encoder-based GAN inversion (image to latent code) approaches. The project utilises the StyleGAN2-ada architecture and for ease of reproduction has been performed on the publically available FFHQ dataset with pre-trained weights.

encoder generative-adversarial-network optimisation-algorithms latent-space perceptual-similarity pixel-loss gan-inversion identity-preservation
  • Updated Jan 2, 2026
  • Python

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