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 126–150 of 381 papers

TitleStatusHype
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation—0
Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation—0
F?D: On understanding the role of deep feature spaces on face generation evaluation—0
Multi-Modal Face Stylization with a Generative Prior—0
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistencyCode0
CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation—0
'Tax-free' 3DMM Conditional Face Generation—0
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes—0
Identity-Preserving Talking Face Generation with Landmark and Appearance PriorsCode2
Laughing Matters: Introducing Laughing-Face Generation using Diffusion ModelsCode1
Analyzing Bias in Diffusion-based Face Generation Models—0
High-Fidelity 3D Face Generation from Natural Language DescriptionsCode1
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator—0
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning—0
GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation—0
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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