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

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Showing 141–150 of 381 papers

TitleStatusHype
Collaborative Diffusion for Multi-Modal Face Generation and EditingCode2
Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations—0
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
Generation of artificial facial drug abuse images using Deep De-identified anonymous Dataset augmentation through Genetics Algorithm (3DG-GA)—0
Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture—0
That's What I Said: Fully-Controllable Talking Face Generation—0
A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation—0
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder—0
Seeing What You Said: Talking Face Generation Guided by a Lip Reading ExpertCode2
MusicFace: Music-driven Expressive Singing Face Synthesis—0
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