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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

Showing 2130 of 381 papers

TitleStatusHype
Identity-Preserving Talking Face Generation with Landmark and Appearance PriorsCode2
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANsCode2
Learning a model of facial shape and expression from 4D scansCode2
CelebV-HQ: A Large-Scale Video Facial Attributes DatasetCode2
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
Controllable 3D Face Generation with Conditional Style Code DiffusionCode1
A Large-scale Universal Evaluation Benchmark For Face Forgery DetectionCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
Controllable Talking Face Generation by Implicit Facial Keypoints EditingCode1
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
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