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 351–360 of 381 papers

TitleStatusHype
Face Synthesis for Eyeglass-Robust Face RecognitionCode0
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis—0
Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN)—0
A Hybrid Model for Identity Obfuscation by Face Replacement—0
Talking Face Generation by Conditional Recurrent Adversarial NetworkCode0
Exploring Disentangled Feature Representation Beyond Face Identification—0
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable ModelCode0
Towards Open-Set Identity Preserving Face Synthesis—0
Image Generation and Translation with Disentangled Representations—0
Load Balanced GANs for Multi-view Face Image Synthesis—0
Show:102550
← PrevPage 36 of 39Next →

No leaderboard results yet.