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 191–200 of 381 papers

TitleStatusHype
Continuous Face Aging via Self-estimated Residual Age Embedding—0
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
Controllable Descendant Face Synthesis—0
Controllable Radiance Fields for Dynamic Face Synthesis—0
Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation—0
CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding—0
CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation—0
Cross-Age Contrastive Learning for Age-Invariant Face Recognition—0
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition—0
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs—0
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