3D Face Reconstruction
76 papers with code • 7 benchmarks • 11 datasets
3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
( Image credit: 3DDFA_V2 )
Benchmarks
These leaderboards are used to track progress in 3D Face Reconstruction
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Libraries
Use these libraries to find 3D Face Reconstruction models and implementationsDatasets
AFLW2000-3D
FaceWarehouse
FaceScape
Florence
ExPose
NoW Benchmark
REALY
FFHQ-UV
DAD-3DHeads
FaMoS
Latest papers with no code
Audio-Driven 3D Facial Animation from In-the-Wild Videos
Consequently, their generalization capability remains limited.
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction
In this work, we present a multimodal solution to the problem of 4D face reconstruction from monocular videos.
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.
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.
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
3D Morphable Models (3DMMs) demonstrate great potential for reconstructing faithful and animatable 3D facial surfaces from a single image.
3D Face Reconstruction for Forensic Recognition -- A Survey
3D face reconstruction algorithms from images and videos are applied to many fields, from plastic surgery to the entertainment sector, thanks to their advantageous features.
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
Our key insight is that intrinsic semantic attributes such as race, skin color, and age can constrain the albedo map.
Continuous Landmark Detection With 3D Queries
Neural networks for facial landmark detection are notoriously limited to a fixed set of landmarks in a dedicated layout, which must be specified at training time.
Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction
Then, the extracted templates are stored in the system's database during the enrollment stage and are later used for recognition.
Accurate 3D Face Reconstruction with Facial Component Tokens
However, the current deep learning-based methods face significant challenges in achieving accurate reconstruction with disentangled facial parameters and ensuring temporal stability in single-frame methods for 3D face tracking on video data.
