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 221–230 of 381 papers

TitleStatusHype
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations—0
Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection—0
EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation—0
LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook—0
Face Generation and Editing with StyleGAN: A Survey—0
Emotional Talking Faces: Making Videos More Expressive and Realistic—0
Memories are One-to-Many Mapping Alleviators in Talking Face Generation—0
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
Semantics-Preserving Sketch Embedding for Face Generation—0
Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching—0
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