[ICCV 2025] FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads

💡 Tips for Best Results

  • Works best with near-frontal portrait images.
  • The provided checkpoints were not trained with accessories (glasses, hats, etc.). Portraits containing accessories may produce suboptimal results.
  • If face detection fails, try disabling auto-cropping and manually crop to square.
  • Inference complete when the turntable video is generated, the interactive 3D gaussian might take several seconds to load.
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Examples
Input Portrait Image Auto Cropping Guidance Scale Random Seed Generation Steps