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 221–230 of 381 papers

TitleStatusHype
Landmark Assisted CycleGAN for Cartoon Face Generation—0
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss—0
X2Face: A network for controlling face generation by using images, audio, and pose codes—0
Controllable Radiance Fields for Dynamic Face Synthesis—0
LC-NeRF: Local Controllable Face Generation in Neural Randiance Field—0
Controllable Descendant Face Synthesis—0
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
Continuous Face Aging via Self-estimated Residual Age Embedding—0
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation—0
LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook—0
Show:102550
← PrevPage 23 of 39Next →

No leaderboard results yet.