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 121–130 of 381 papers

TitleStatusHype
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes—0
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face RecognitionCode0
Single Image, Any Face: Generalisable 3D Face Generation—0
JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation—0
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery DetectionCode0
StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads—0
A Key-Driven Framework for Identity-Preserving Face Anonymization—0
SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing—0
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model—0
Synthetic Counterfactual Faces—0
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