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 71–80 of 381 papers

TitleStatusHype
LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One ExampleCode1
Controllable Face Synthesis with Semantic Latent Diffusion ModelsCode1
Arc2Face: A Foundation Model for ID-Consistent Human FacesCode4
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization—0
Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style—0
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric RegularizationCode1
G4G:A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment—0
AVI-Talking: Learning Audio-Visual Instructions for Expressive 3D Talking Face Generation—0
M^3Face: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing—0
EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation—0
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