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 91–100 of 381 papers

TitleStatusHype
A recurrent cycle consistency loss for progressive face-to-face synthesisCode1
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
Improving the Fairness of Deep Generative Models without RetrainingCode1
Parallel and High-Fidelity Text-to-Lip GenerationCode1
StyleNAT: Giving Each Head a New PerspectiveCode1
Controllable Face Synthesis with Semantic Latent Diffusion ModelsCode1
A Multiresolution 3D Morphable Face Model and Fitting FrameworkCode0
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery DetectionCode0
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face RecognitionCode0
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric GuidanceCode0
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