SOTAVerified

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 161–170 of 381 papers

TitleStatusHype
Exploring Disentangled Feature Representation Beyond Face Identification—0
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation—0
A Synthesis-Based Approach for Thermal-to-Visible Face Verification—0
Adversarially Perturbed Wavelet-based Morphed Face Generation—0
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination—0
Emotion-Controllable Generalized Talking Face Generation—0
A Survey on Personalized Content Synthesis with Diffusion Models—0
Emotional Talking Faces: Making Videos More Expressive and Realistic—0
Emotional Conversation: Empowering Talking Faces with Cohesive Expression, Gaze and Pose Generation—0
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model—0
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