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 201–250 of 381 papers

TitleStatusHype
Detecting Face Synthesis Using a Concealed Fusion Model—0
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data—0
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks—0
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation—0
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—0
Disentangled Lifespan Face Synthesis—0
DisentTalk: Cross-lingual Talking Face Generation via Semantic Disentangled Diffusion Model—0
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition—0
DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation—0
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation—0
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis—0
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning—0
Dynamic Conditional Networks for Few-Shot Learning—0
Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection—0
EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model—0
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously—0
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset—0
EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation—0
EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation—0
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model—0
Emotional Conversation: Empowering Talking Faces with Cohesive Expression, Gaze and Pose Generation—0
Emotional Talking Faces: Making Videos More Expressive and Realistic—0
Emotion-Controllable Generalized Talking Face Generation—0
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination—0
Exploring Disentangled Feature Representation Beyond Face Identification—0
Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation—0
EyeBAG: Accurate Control of Eye Blink and Gaze Based on Data Augmentation Leveraging Style Mixing—0
Face Alignment Using Active Shape Model And Support Vector Machine—0
FaceCook: Face Generation Based on Linear Scaling Factors—0
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion—0
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis—0
Face Generation and Editing with StyleGAN: A Survey—0
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks—0
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis—0
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement—0
Faces that Speak: Jointly Synthesising Talking Face and Speech from Text—0
Face Synthesis (FASY) System for Determining the Characteristics of a Face Image—0
Face Synthesis (FASY) System for Generation of a Face Image from Human Description—0
Facial Attribute Transformers for Precise and Robust Makeup Transfer—0
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers—0
Generalized Facial Manipulation Detection with Edge Region Feature Extraction—0
Facial Synthesis from Visual Attributes via Sketch using Multi-Scale Generators—0
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate—0
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Reconstruction—0
FakeLocator: Robust Localization of GAN-Based Face Manipulations—0
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training—0
F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration—0
F?D: On understanding the role of deep feature spaces on face generation evaluation—0
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization—0
FT2TF: First-Person Statement Text-To-Talking Face Generation—0
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