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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 3140 of 381 papers

TitleStatusHype
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face SynthesisCode1
Fine-Tuning StyleGAN2 For Cartoon Face GenerationCode1
A recurrent cycle consistency loss for progressive face-to-face synthesisCode1
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
Controllable 3D Face Generation with Conditional Style Code DiffusionCode1
Controllable Talking Face Generation by Implicit Facial Keypoints EditingCode1
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric RegularizationCode1
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"Code1
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