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 151–160 of 381 papers

TitleStatusHype
Superior and Pragmatic Talking Face Generation with Teacher-Student Framework—0
Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style—0
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization—0
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
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion modelCode0
NeRF-AD: Neural Radiance Field with Attention-based Disentanglement for Talking Face Synthesis—0
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model—0
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