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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

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Showing 291–300 of 381 papers

TitleStatusHype
FakeLocator: Robust Localization of GAN-Based Face Manipulations—0
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses—0
DeepFakes and Beyond: A Survey of Face Manipulation and Fake DetectionCode4
FaceShifter: Towards High Fidelity And Occlusion Aware Face SwappingCode0
PI-GAN: Learning Pose Independent representations for multiple profile face synthesis—0
Facial Synthesis from Visual Attributes via Sketch using Multi-Scale Generators—0
Text2FaceGAN: Face Generation from Fine Grained Textual DescriptionsCode0
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation SynthesisCode0
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer—0
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation DetectionCode0
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