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

Showing 101–125 of 381 papers

TitleStatusHype
Text-Guided 3D Face Synthesis -- From Generation to EditingCode1
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
HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face GenerationCode2
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
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
Limitations of Face Image GenerationCode0
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images—0
ToonTalker: Cross-Domain Face Reenactment—0
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models—0
VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer—0
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training—0
Rethinking Voice-Face Correlation: A Geometry View—0
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Reconstruction—0
Audio-driven Talking Face Generation with Stabilized Synchronization Loss—0
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction—0
Seeing is not Believing: An Identity Hider for Human Vision Privacy ProtectionCode0
EyeBAG: Accurate Control of Eye Blink and Gaze Based on Data Augmentation Leveraging Style Mixing—0
PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN—0
Text-driven Talking Face Synthesis by Reprogramming Audio-driven Models—0
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions—0
MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images—0
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