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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

Showing 351360 of 381 papers

TitleStatusHype
A Hybrid Model for Identity Obfuscation by Face Replacement0
Talking Face Generation by Conditional Recurrent Adversarial NetworkCode0
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable ModelCode0
Exploring Disentangled Feature Representation Beyond Face Identification0
Towards Open-Set Identity Preserving Face Synthesis0
Image Generation and Translation with Disentangled Representations0
Load Balanced GANs for Multi-view Face Image Synthesis0
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
Semi-supervised FusedGAN for Conditional Image Generation0
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per PersonCode0
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