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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
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANsCode2
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
Learning a model of facial shape and expression from 4D scansCode2
Progressive Growing of GANs for Improved Quality, Stability, and VariationCode2
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live ImagesCode1
ID-Booth: Identity-consistent Face Generation with Diffusion ModelsCode1
FFaceNeRF: Few-shot Face Editing in Neural Radiance FieldsCode1
Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with AdaptersCode1
Face Forgery Detection with Elaborate BackboneCode1
MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistanceCode1
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