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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
HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face GenerationCode2
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
Progressive Growing of GANs for Improved Quality, Stability, and VariationCode2
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
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
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