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Research map / 3D vision / Face and shape

Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

CVPR 2023 · 3D vision › Face and shape · approach: Generative textures for 3D humans · 97 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use FENeRF instead of pi-GAN3D-aware face generation · CelebA-HQFID: 14.7 -> 12.1Helped
Use FENeRF instead of Giraffe3D-aware face generation · FFHQFID: 31.9 -> 28.2Helped
Use FENeRF instead of pi-GAN3D-aware face generation · CelebA-HQKID (× 10^3): 3.9 -> 1.6Helped
Use FENeRF instead of pi-GAN3D-aware face generation · FFHQKID (× 10^3): 23.5 -> 17.3Helped
Add image rendering to the semantic-only model (ablation)FENeRF · CelebAMask-HQ and FFHQgeometry qualityHelped
Add semantic rendering to the image-rendering model (ablation)FENeRF · CelebAMask-HQ and FFHQgeometry qualityHelped
Add a learnable coordinate embedding (ablation)FENeRF · CelebAMask-HQ and FFHQimage detailHelped
Inject coordinate embedding at the beginning of the MLP (ablation)FENeRF · CelebAMask-HQ and FFHQimage and semantic qualityHurt
Inject coordinate embedding into the color branch (ablation)FENeRF · CelebAMask-HQ and FFHQimage and semantic qualityHelped

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