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 21–30 of 381 papers

TitleStatusHype
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection—0
F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration—0
StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer—0
VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization—0
BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention—0
PortraitTalk: Towards Customizable One-Shot Audio-to-Talking Face Generation—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face VerificationCode0
Sonic: Shifting Focus to Global Audio Perception in Portrait Animation—0
Analyzing and Improving the Skin Tone Consistency and Bias in Implicit 3D Relightable Face Generators—0
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