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Research map / Image generation / Editing and style transfer

Neural Face Editing With Intrinsic Image Disentangling

CVPR 2017 · Image generation › Editing and style transfer · approach: Identity-preserving face manipulation · 307 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the disentangling network instead of least-squares 3DMM estimationillumination estimation · Multi-PIEaverage variance of illumination coefficients: 0.36 -> 0.16Helped
Use the disentangling network instead of a baseline auto-encoderface reconstruction and smile editing · CelebA face editingqualitative reconstruction and edit qualityHelped
Traverse the implicit albedo manifold for smile editing (ablation)implicit face representation · smile editingqualitative edit qualityHurt
Traverse the implicit normal manifold for eyewear editing (ablation)implicit face representation · eyeglasses editingqualitative edit effectNo clear effect
Traverse the UV manifold for eyewear editing (ablation)implicit face representation · eyeglasses editingqualitative edit specificityHurt
Traverse all implicit manifolds for eyewear editing (ablation)implicit face representation · eyeglasses editingqualitative edit specificityHurt
Traverse the implicit albedo manifold for eyewear editing (ablation)implicit face representation · eyeglasses editingqualitative edit fidelityHelped
Traverse the UV manifold for smile editing (ablation)implicit face representation · smile editingqualitative smile expressionHelped
Traverse both UV and implicit normal manifolds for smile editing (ablation)implicit face representation · smile editingqualitative smile strengthHelped

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