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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 371380 of 381 papers

TitleStatusHype
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation DetectionCode0
Attributes Aware Face Generation with Generative Adversarial NetworksCode0
Reasoning Structural Relation for Occlusion-Robust Facial Landmark LocalizationCode0
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANsCode0
A Multiresolution 3D Morphable Face Model and Fitting FrameworkCode0
3D Cartoon Face Generation with Controllable Expressions from a Single GAN ImageCode0
Design What You Desire: Icon Generation from Orthogonal Application and Theme LabelsCode0
CausalGAN: Learning Causal Implicit Generative Models with Adversarial TrainingCode0
A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasksCode0
Face Synthesis for Eyeglass-Robust Face RecognitionCode0
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