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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 131140 of 381 papers

TitleStatusHype
3D Cartoon Face Generation with Controllable Expressions from a Single GAN ImageCode0
GP-GAN: Gender Preserving GAN for Synthesizing Faces from LandmarksCode0
Cross-Domain Face Synthesis using a Controllable GANCode0
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face VerificationCode0
GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face GuidanceCode0
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation SynthesisCode0
Attributes Aware Face Generation with Generative Adversarial NetworksCode0
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANsCode0
Flow Plugin Network for conditional generationCode0
Face Synthesis for Eyeglass-Robust Face RecognitionCode0
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