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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 371–380 of 381 papers

TitleStatusHype
Facial Attribute Transformers for Precise and Robust Makeup Transfer—0
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers—0
Generalized Facial Manipulation Detection with Edge Region Feature Extraction—0
Facial Synthesis from Visual Attributes via Sketch using Multi-Scale Generators—0
EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation—0
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach—0
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate—0
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Reconstruction—0
FakeLocator: Robust Localization of GAN-Based Face Manipulations—0
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training—0
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