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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 191–200 of 381 papers

TitleStatusHype
High-Fidelity Face Swapping with Style Blending—0
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning—0
A Hybrid Model for Identity Obfuscation by Face Replacement—0
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning—0
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data—0
Detecting Face Synthesis Using a Concealed Fusion Model—0
IAN: Combining Generative Adversarial Networks for Imaginative Face Generation—0
Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction—0
Identity-guided Face Generation with Multi-modal Contour Conditions—0
Identity-Preserving Realistic Talking Face Generation—0
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