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 171–180 of 381 papers

TitleStatusHype
GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face GuidanceCode0
FT2TF: First-Person Statement Text-To-Talking Face Generation—0
RetriBooru: Leakage-Free Retrieval of Conditions from Reference Images for Subject-Driven Generation—0
Seeing through the Mask: Multi-task Generative Mask Decoupling Face Recognition—0
CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding—0
Mukh-Oboyob: Stable Diffusion and BanglaBERT enhanced Bangla Text-to-Face SynthesisCode0
Realistic Speech-to-Face Generation with Speech-Conditioned Latent Diffusion Model with Face Prior—0
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis—0
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks—0
Limitations of Face Image GenerationCode0
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