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Research map / 3D vision / NeRF and radiance fields

FENeRF: Face Editing in Neural Radiance Fields

CVPR 2022 · 3D vision › NeRF and radiance fields · approach: Single-view and streaming radiance fields · 127 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use FENeRF's joint semantic-image rendering and learnable feature grid instead of Giraffe3D-aware face generation · CelebA-HQFID: 16.2 -> 12.1Helped
Use FENeRF's joint semantic-image rendering and learnable feature grid instead of Giraffe3D-aware face generation · FFHQFID: 31.9 -> 28.2Helped
Use FENeRF's joint semantic-image rendering and learnable feature grid instead of Giraffe3D-aware face generation · CelebA-HQKID: 9.1 -> 1.6Helped
Use FENeRF's joint semantic-image rendering and learnable feature grid instead of Giraffe3D-aware face generation · FFHQKID: 32.7 -> 17.3Helped
Add image rendering alongside semantic rendering (ablation)FENeRF · Face geometry and semantic renderinggeometry and semantic qualityHelped
Add semantic rendering alongside image rendering (ablation)FENeRF · Face geometrygeometry qualityHelped
Add coordinate embeddings to the color branch (ablation)FENeRF · Synthesized portraitsimage detailHelped
Inject coordinate embeddings at the beginning of the MLP with coordinates (ablation)FENeRF · Synthesized portraits and semantic mapsartifact levelHurt
Remove coordinate embeddings (ablation)FENeRF · Synthesized portraitsimage detailHurt
Train with semantic-map supervision only, without image rendering (ablation)FENeRF · Face geometry and semanticsgeometry and semantic qualityHurt
Invert real portraits into the geometry latent spaceFENeRF · CelebAMask-HQ portraitsmIoU: 0.5 by 100 iterations; over 0.7 within 200 iterationsHelped

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