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Face Generation

Face generation is the task of generating (or interpolating) new faces from an existing dataset.

The state-of-the-art results for this task are located in the Image Generation parent.

( Image credit: Progressive Growing of GANs for Improved Quality, Stability, and Variation )

Papers

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Showing 291–300 of 381 papers

TitleStatusHype
MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN—0
Causal Adversarial Network for Learning Conditional and Interventional Distributions—0
On Attribution of Deepfakes—0
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks—0
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition—0
Attention-based Residual Speech Portrait Model for Speech to Face Generation—0
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss—0
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement—0
Identity-Preserving Realistic Talking Face Generation—0
One-Shot Domain Adaptation For Face Generation—0
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