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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 351360 of 381 papers

TitleStatusHype
Text2FaceGAN: Face Generation from Fine Grained Textual DescriptionsCode0
FaceShifter: Towards High Fidelity And Occlusion Aware Face SwappingCode0
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face RecognitionCode0
GP-GAN: Gender Preserving GAN for Synthesizing Faces from LandmarksCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Parameter and Data-Efficient Spectral StyleDCGANCode0
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face RecognitionCode0
Everybody Dance NowCode0
Photo-Realistic Facial Details Synthesis from Single ImageCode0
Stochastic Talking Face Generation Using Latent Distribution MatchingCode0
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