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

Showing 111120 of 381 papers

TitleStatusHype
Multi-Agent Diverse Generative Adversarial NetworksCode0
A Comprehensive Survey on Pose-Invariant Face RecognitionCode0
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face RecognitionCode0
LandmarkGAN: Synthesizing Faces from LandmarksCode0
Latent Space Factorisation and Manipulation via Matrix Subspace ProjectionCode0
CausalGAN: Learning Causal Implicit Generative Models with Adversarial TrainingCode0
RankGAN: A Maximum Margin Ranking GAN for Generating FacesCode0
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face RecognitionCode0
Multimodal Face Synthesis from Visual AttributesCode0
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per PersonCode0
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