SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 381 papers

TitleStatusHype
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute LearningCode1
Graph-based Generative Face Anonymisation with Pose PreservationCode1
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"Code1
Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion From a Single-View ImageCode1
A Large-scale Universal Evaluation Benchmark For Face Forgery DetectionCode1
AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANsCode1
Controllable 3D Face Generation with Conditional Style Code DiffusionCode1
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face GenerationCode1
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
Adv-Makeup: A New Imperceptible and Transferable Attack on Face RecognitionCode1
Show:102550
← PrevPage 6 of 39Next →

No leaderboard results yet.