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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 2130 of 381 papers

TitleStatusHype
Collaborative Diffusion for Multi-Modal Face Generation and EditingCode2
FaceScore: Benchmarking and Enhancing Face Quality in Human GenerationCode2
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANsCode2
Seeing What You Said: Talking Face Generation Guided by a Lip Reading ExpertCode2
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
A Large-scale Universal Evaluation Benchmark For Face Forgery DetectionCode1
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image GenerationCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
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