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Research map / 3D vision / Face and shape

Nonlinear 3D Face Morphable Model

CVPR 2018 · 3D vision › Face and shape · approach: 3D morphable face model regression · 423 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace linear PCA texture bases with a nonlinear texture decoder3DMM · In-the-wild face textureL1 reconstruction error: 0.103 -> 0.066Helped
Replace linear PCA shape bases with a nonlinear shape decoder3DMM · 10 held-out 3D face scansNME: 0.0241 -> 0.0196Helped
Use nonlinear instead of linear shape representation at latent size l_S=40 (ablation)3DMM · 10 held-out 3D face scansNME: 0.0321 -> 0.0277Helped
Use nonlinear instead of linear shape representation at latent size l_S=80 (ablation)3DMM · 10 held-out 3D face scansNME: 0.0279 -> 0.0236Helped
Use nonlinear instead of linear shape representation at latent size l_S=160 (ablation)3DMM · 10 held-out 3D face scansNME: 0.0241 -> 0.0196Helped
Use the jointly learned nonlinear 3DMM fitting encoderFace alignment · AFLW2000NME: 5.42 -> 4.70Helped
Use patchGAN rather than a global image-based discriminator (ablation)Nonlinear 3DMM texture learning · Rendered face textureTexture realism and artifactsHelped
Use a global image-based discriminator rather than patchGAN (ablation)Nonlinear 3DMM texture learning · Rendered face textureTexture artifactsHurt

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