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 151–160 of 381 papers

TitleStatusHype
Attention-based Residual Speech Portrait Model for Speech to Face Generation—0
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis—0
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion—0
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
FaceCook: Face Generation Based on Linear Scaling Factors—0
Face Alignment Using Active Shape Model And Support Vector Machine—0
Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild—0
EyeBAG: Accurate Control of Eye Blink and Gaze Based on Data Augmentation Leveraging Style Mixing—0
Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation—0
Continuous Face Aging via Self-estimated Residual Age Embedding—0
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