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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
RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network—0
Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN)—0
Recent Progress of Face Image Synthesis—0
Region-Aware Face Swapping—0
Text-driven Talking Face Synthesis by Reprogramming Audio-driven Models—0
Rethinking Deep Face Restoration—0
Rethinking Voice-Face Correlation: A Geometry View—0
RetriBooru: Leakage-Free Retrieval of Conditions from Reference Images for Subject-Driven Generation—0
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks—0
Sampling Strategies for Mitigating Bias in Face Synthesis Methods—0
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