Face Model
68 papers with code • 0 benchmarks • 5 datasets
Benchmarks
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Libraries
Use these libraries to find Face Model models and implementations
FaceWarehouse
FaceScape
HUMBI
MeGlass
Latest papers with no code
FAAC: Facial Animation Generation with Anchor Frame and Conditional Control for Superior Fidelity and Editability
Our method's efficacy has been validated on multiple representative DreamBooth and LoRA models, delivering substantial improvements over the original outcomes in terms of facial fidelity, text-to-image editability, and video motion.
Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing
We present a novel framework for generating photorealistic 3D human head and subsequently manipulating and reposing them with remarkable flexibility.
FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding
We propose FlashAvatar, a novel and lightweight 3D animatable avatar representation that could reconstruct a digital avatar from a short monocular video sequence in minutes and render high-fidelity photo-realistic images at 300FPS on a consumer-grade GPU.
On the Biometric Capacity of Generative Face Models
Our capacity estimates indicate that (a) under ArcFace representation at a false acceptance rate (FAR) of 0. 1%, StyleGAN3 and DCFace have a capacity upper bound of $1. 43\times10^6$ and $1. 190\times10^4$, respectively; (b) the capacity reduces drastically as we lower the desired FAR with an estimate of $1. 796\times10^4$ and $562$ at FAR of 1% and 10%, respectively, for StyleGAN3; (c) there is no discernible disparity in the capacity w. r. t gender; and (d) for some generative models, there is an appreciable disparity in the capacity w. r. t age.
High-Fidelity Eye Animatable Neural Radiance Fields for Human Face
In this paper, we aim to learn a face NeRF model that is sensitive to eye movements from multi-view images.
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization
To tackle this problem, we propose a novel method for constructing implicit 3D morphable face models that are both generalizable and intuitive for editing.
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image
Inferring 3D object structures from a single image is an ill-posed task due to depth ambiguity and occlusion.
High-Fidelity and Freely Controllable Talking Head Video Generation
Our method leverages both self-supervised learned landmarks and 3D face model-based landmarks to model the motion.
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
The research fields of parametric face model and 3D face reconstruction have been extensively studied.
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
The learnt avatar is driven by a parametric face model to achieve user-controlled facial expressions and head poses.
