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 291–300 of 381 papers

TitleStatusHype
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer—0
VectorTalker: SVG Talking Face Generation with Progressive Vectorisation—0
Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN)—0
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting—0
VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization—0
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer—0
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark—0
X2Face: A network for controlling face generation by using images, audio, and pose codes—0
Show:102550
← PrevPage 30 of 39Next →

No leaderboard results yet.