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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 301–310 of 381 papers

TitleStatusHype
Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching—0
Adversarial Identity Injection for Semantic Face Image Synthesis—0
Seeing through the Mask: Multi-task Generative Mask Decoupling Face Recognition—0
Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations—0
SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing—0
Self-supervised Correlation Mining Network for Person Image Generation—0
Semantics-Preserving Sketch Embedding for Face Generation—0
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting—0
Semi-supervised FusedGAN for Conditional Image Generation—0
Single Image, Any Face: Generalisable 3D Face Generation—0
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