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 271–280 of 381 papers

TitleStatusHype
One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning—0
BareSkinNet: De-makeup and De-lighting via 3D Face Reconstruction—0
Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture—0
OpFlowTalker: Realistic and Natural Talking Face Generation via Optical Flow Guidance—0
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis—0
PC-Talk: Precise Facial Animation Control for Audio-Driven Talking Face Generation—0
Persuasive Faces: Generating Faces in Advertisements—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
PI-GAN: Learning Pose Independent representations for multiple profile face synthesis—0
Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion—0
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