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 341–350 of 381 papers

TitleStatusHype
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance—0
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face RecognitionCode0
Dynamic Conditional Networks for Few-Shot Learning—0
X2Face: A network for controlling face generation using images, audio, and pose codes—0
Everybody Dance NowCode0
X2Face: A network for controlling face generation by using images, audio, and pose codes—0
Persuasive Faces: Generating Faces in Advertisements—0
Talking Face Generation by Adversarially Disentangled Audio-Visual RepresentationCode0
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously—0
High Diversity Attribute Guided Face Generation with GANs—0
Show:102550
← PrevPage 35 of 39Next →

No leaderboard results yet.