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 276–300 of 381 papers

TitleStatusHype
A Synthesis-Based Approach for Thermal-to-Visible Face Verification—0
Disentangled Lifespan Face Synthesis—0
Heterogeneous Face Frontalization via Domain Agnostic Learning—0
Sparse to Dense Dynamic 3D Facial Expression Generation—0
Continuous Face Aging via Self-estimated Residual Age Embedding—0
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis—0
Multimodal Face Synthesis from Visual AttributesCode0
Facial Attribute Transformers for Precise and Robust Makeup Transfer—0
KoDF: A Large-scale Korean DeepFake Detection Dataset—0
Generalized Facial Manipulation Detection with Edge Region Feature Extraction—0
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias—0
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis—0
Attributes Aware Face Generation with Generative Adversarial NetworksCode0
Stochastic Talking Face Generation Using Latent Distribution MatchingCode0
LandmarkGAN: Synthesizing Faces from LandmarksCode0
MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN—0
Causal Adversarial Network for Learning Conditional and Interventional Distributions—0
On Attribution of Deepfakes—0
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks—0
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition—0
Attention-based Residual Speech Portrait Model for Speech to Face Generation—0
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss—0
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement—0
Identity-Preserving Realistic Talking Face Generation—0
One-Shot Domain Adaptation For Face Generation—0
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