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 251–275 of 381 papers

TitleStatusHype
UniSync: A Unified Framework for Audio-Visual Synchronization—0
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes—0
MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN—0
BoostGAN for Occlusive Profile Face Frontalization and Recognition—0
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias—0
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis—0
Adversarially Perturbed Wavelet-based Morphed Face Generation—0
Multi-Attributed and Structured Text-to-Face Synthesis—0
Multimodal Conditional 3D Face Geometry Generation—0
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator—0
Multi-Modal Face Stylization with a Generative Prior—0
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations—0
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes—0
MusicFace: Music-driven Expressive Singing Face Synthesis—0
NeRF-AD: Neural Radiance Field with Attention-based Disentanglement for Talking Face Synthesis—0
BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention—0
Non-Adaptive Adversarial Face Generation—0
On Attribution of Deepfakes—0
One-Shot Domain Adaptation For Face Generation—0
One-Shot Face Reenactment on Megapixels—0
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
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