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 201–210 of 381 papers

TitleStatusHype
DeepFace: Face Generation using Deep Learning—0
Image Generation and Translation with Disentangled Representations—0
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis—0
Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion—0
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses—0
Improving face generation quality and prompt following with synthetic captions—0
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder—0
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs—0
Causal Representation Learning for Context-Aware Face Transfer—0
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions—0
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