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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 281290 of 381 papers

TitleStatusHype
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation0
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach0
Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis0
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images0
Towards Open-Set Identity Preserving Face Synthesis0
Uncovering Bias in Face Generation Models0
UniFLG: Unified Facial Landmark Generator from Text or Speech0
UniSync: A Unified Framework for Audio-Visual Synchronization0
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations0
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes0
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