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 241–250 of 381 papers

TitleStatusHype
Mask-off: Synthesizing Face Images in the Presence of Head-mounted Displays—0
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network—0
CG-NeRF: Conditional Generative Neural Radiance Fields—0
Media Forensics and Deepfake Systematic Survey—0
MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences—0
Memories are One-to-Many Mapping Alleviators in Talking Face Generation—0
Causal Adversarial Network for Learning Conditional and Interventional Distributions—0
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Human-Like Sketches—0
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks—0
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