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 176–200 of 381 papers

TitleStatusHype
Disentangled Lifespan Face Synthesis—0
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—0
Towards Open-Set Identity Preserving Face Synthesis—0
GSTalker: Real-time Audio-Driven Talking Face Generation via Deformable Gaussian Splatting—0
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes—0
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation—0
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models—0
Heterogeneous Face Frontalization via Domain Agnostic Learning—0
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement—0
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations—0
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss—0
High Diversity Attribute Guided Face Generation with GANs—0
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks—0
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model—0
High Fidelity Face Manipulation with Extreme Poses and Expressions—0
High-Fidelity Face Swapping with Style Blending—0
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning—0
A Hybrid Model for Identity Obfuscation by Face Replacement—0
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning—0
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data—0
Detecting Face Synthesis Using a Concealed Fusion Model—0
IAN: Combining Generative Adversarial Networks for Imaginative Face Generation—0
Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction—0
Identity-guided Face Generation with Multi-modal Contour Conditions—0
Identity-Preserving Realistic Talking Face Generation—0
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