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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 361370 of 381 papers

TitleStatusHype
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per PersonCode0
Limitations of Face Image GenerationCode0
Flow Plugin Network for conditional generationCode0
Latent Space Factorisation and Manipulation via Matrix Subspace ProjectionCode0
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation SynthesisCode0
LandmarkGAN: Synthesizing Faces from LandmarksCode0
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistencyCode0
RankGAN: A Maximum Margin Ranking GAN for Generating FacesCode0
High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited DataCode0
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face VerificationCode0
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