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 171–180 of 381 papers

TitleStatusHype
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance—0
A Key-Driven Framework for Identity-Preserving Face Anonymization—0
EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation—0
EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation—0
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset—0
CG-NeRF: Conditional Generative Neural Radiance Fields—0
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously—0
EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model—0
Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection—0
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