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 331–340 of 381 papers

TitleStatusHype
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning—0
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks—0
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis—0
Deep Neural Network Augmentation: Generating Faces for Affect Analysis—0
Triple consistency loss for pairing distributions in GAN-based face synthesisCode1
Super-Identity Convolutional Neural Network for Face Hallucination—0
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance—0
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face RecognitionCode0
X2Face: A network for controlling face generation using images, audio, and pose codes—0
Dynamic Conditional Networks for Few-Shot Learning—0
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