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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 171–180 of 381 papers

TitleStatusHype
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey—0
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection—0
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition—0
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation—0
G4G:A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment—0
Detecting Face Synthesis Using a Concealed Fusion Model—0
AnyFace: Free-style Text-to-Face Synthesis and Manipulation—0
GSTalker: Real-time Audio-Driven Talking Face Generation via Deformable Gaussian Splatting—0
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model—0
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning—0
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