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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 4150 of 381 papers

TitleStatusHype
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image GenerationCode1
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
A recurrent cycle consistency loss for progressive face-to-face synthesisCode1
Fine-Tuning StyleGAN2 For Cartoon Face GenerationCode1
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"Code1
AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANsCode1
Face Forgery Detection with Elaborate BackboneCode1
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face GenerationCode1
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