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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 5160 of 381 papers

TitleStatusHype
AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANsCode1
ID-Booth: Identity-consistent Face Generation with Diffusion ModelsCode1
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face GenerationCode1
Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion From a Single-View ImageCode1
Adv-Makeup: A New Imperceptible and Transferable Attack on Face RecognitionCode1
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric RegularizationCode1
Face Forgery Detection with Elaborate BackboneCode1
Feature Quantization Improves GAN TrainingCode1
Audio-Driven Emotional Video PortraitsCode1
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live ImagesCode1
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