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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

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Showing 251–300 of 381 papers

TitleStatusHype
Seeing through the Mask: Multi-task Generative Mask Decoupling Face Recognition—0
SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing—0
Self-supervised Correlation Mining Network for Person Image Generation—0
Semantics-Preserving Sketch Embedding for Face Generation—0
Semi-supervised FusedGAN for Conditional Image Generation—0
Single Image, Any Face: Generalisable 3D Face Generation—0
Sketch2Human: Deep Human Generation with Disentangled Geometry and Appearance Control—0
Sonic: Shifting Focus to Global Audio Perception in Portrait Animation—0
SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation—0
SREFI: Synthesis of Realistic Example Face Images—0
StableFace: Analyzing and Improving Motion Stability for Talking Face Generation—0
Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style—0
StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer—0
StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads—0
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis—0
Super-Identity Convolutional Neural Network for Face Hallucination—0
Superior and Pragmatic Talking Face Generation with Teacher-Student Framework—0
SwapTalk: Audio-Driven Talking Face Generation with One-Shot Customization in Latent Space—0
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory—0
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks—0
Synthetic Counterfactual Faces—0
Taiwanese-Accented Mandarin and English Multi-Speaker Talking-Face Synthesis System—0
Talking Face Generation with Multilingual TTS—0
'Tax-free' 3DMM Conditional Face Generation—0
TextGaze: Gaze-Controllable Face Generation with Natural Language—0
Text-to-Face Generation with StyleGAN2—0
That's What I Said: Fully-Controllable Talking Face Generation—0
ToonTalker: Cross-Domain Face Reenactment—0
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation—0
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach—0
Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis—0
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images—0
Towards Open-Set Identity Preserving Face Synthesis—0
Uncovering Bias in Face Generation Models—0
UniFLG: Unified Facial Landmark Generator from Text or Speech—0
UniSync: A Unified Framework for Audio-Visual Synchronization—0
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations—0
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes—0
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer—0
VectorTalker: SVG Talking Face Generation with Progressive Vectorisation—0
Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN)—0
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting—0
VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization—0
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer—0
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark—0
X2Face: A network for controlling face generation by using images, audio, and pose codes—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
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