SOTAVerified

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 41–50 of 381 papers

TitleStatusHype
SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing—0
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model—0
Towards Localized Fine-Grained Control for Facial Expression GenerationCode2
Synthetic Counterfactual Faces—0
Multimodal Conditional 3D Face Geometry Generation—0
RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network—0
FaceScore: Benchmarking and Enhancing Face Quality in Human GenerationCode2
Media Forensics and Deepfake Systematic Survey—0
A Large-scale Universal Evaluation Benchmark For Face Forgery DetectionCode1
Emotional Conversation: Empowering Talking Faces with Cohesive Expression, Gaze and Pose Generation—0
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