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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 110 of 381 papers

TitleStatusHype
Real3D-Portrait: One-shot Realistic 3D Talking Portrait SynthesisCode5
Deepfake Generation and Detection: A Benchmark and SurveyCode4
Arc2Face: A Foundation Model for ID-Consistent Human FacesCode4
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face SynthesisCode4
DeepFakes and Beyond: A Survey of Face Manipulation and Fake DetectionCode4
JoyGen: Audio-Driven 3D Depth-Aware Talking-Face Video EditingCode3
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face SynthesisCode2
Towards Localized Fine-Grained Control for Facial Expression GenerationCode2
FaceScore: Benchmarking and Enhancing Face Quality in Human GenerationCode2
HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face GenerationCode2
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