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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 151–200 of 381 papers

TitleStatusHype
Dynamic Conditional Networks for Few-Shot Learning—0
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images—0
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning—0
A Key-Driven Framework for Identity-Preserving Face Anonymization—0
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization—0
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis—0
FT2TF: First-Person Statement Text-To-Talking Face Generation—0
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction—0
FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation—0
G4G:A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment—0
GAGAN: Geometry-Aware Generative Adversarial Networks—0
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation—0
DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation—0
Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Models—0
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition—0
GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation—0
Generalized Visual Quality Assessment of GAN-Generated Face Images—0
Deep Neural Network Augmentation: Generating Faces for Affect Analysis—0
Generation of artificial facial drug abuse images using Deep De-identified anonymous Dataset augmentation through Genetics Algorithm (3DG-GA)—0
Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces—0
Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model—0
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey—0
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection—0
Sparse to Dense Dynamic 3D Facial Expression Generation—0
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation—0
DisentTalk: Cross-lingual Talking Face Generation via Semantic Disentangled Diffusion Model—0
Disentangled Lifespan Face Synthesis—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
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—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
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation—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
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks—0
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data—0
IAN: Combining Generative Adversarial Networks for Imaginative Face Generation—0
Detecting Face Synthesis Using a Concealed Fusion Model—0
Identity-guided Face Generation with Multi-modal Contour Conditions—0
Identity-Preserving Realistic Talking Face Generation—0
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