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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 121130 of 381 papers

TitleStatusHype
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery DetectionCode0
LandmarkGAN: Synthesizing Faces from LandmarksCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Latent Space Factorisation and Manipulation via Matrix Subspace ProjectionCode0
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per PersonCode0
FaceShifter: Towards High Fidelity And Occlusion Aware Face SwappingCode0
A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasksCode0
GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face GuidanceCode0
High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited DataCode0
Design What You Desire: Icon Generation from Orthogonal Application and Theme LabelsCode0
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