Face Reconstruction
75 papers with code • 0 benchmarks • 3 datasets
Face reconstruction is the task of recovering the facial geometry of a face from an image.
( Image credit: Microsoft Deep3DFaceReconstruction )
Benchmarks
These leaderboards are used to track progress in Face Reconstruction
FaceWarehouse
FaceScape
ICT-3DHP
Latest papers with no code
FitDiff: Robust monocular 3D facial shape and reflectance estimation using Diffusion Models
This model accurately generates relightable facial avatars, utilizing an identity embedding extracted from an "in-the-wild" 2D facial image.
A Perceptual Shape Loss for Monocular 3D Face Reconstruction
In this work we propose a new loss function for monocular face capture, inspired by how humans would perceive the quality of a 3D face reconstruction given a particular image.
Facial Data Minimization: Shallow Model as Your Privacy Filter
Face recognition service has been used in many fields and brings much convenience to people.
High-Quality 3D Face Reconstruction with Affine Convolutional Networks
In our method, an affine transformation matrix is learned from the affine convolution layer for each spatial location of the feature maps.
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization
We propose NeuFace, a 3D face mesh pseudo annotation method on videos via neural re-parameterized optimization.
3D Face Reconstruction: the Road to Forensics
Therefore, it provides an analysis of the achievements of 3D face reconstruction algorithms from surveillance videos and mugshot images and discusses the current obstacles that separate 3D face reconstruction from an active role in forensic applications.
Angle Range and Identity Similarity Enhanced Gaze and Head Redirection based on Synthetic data
In this paper, we propose a method for improving the angular accuracy and photo-reality of gaze and head redirection in full-face images.
Disjoint Pose and Shape for 3D Face Reconstruction
Existing methods for 3D face reconstruction from a few casually captured images employ deep learning based models along with a 3D Morphable Model(3DMM) as face geometry prior.
NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality
Accurate face recognition systems are increasingly important in sensitive applications like border control or migration management.
FLAME-based Multi-View 3D Face Reconstruction
Our work mainly addresses the problem of combining parametric models of faces with multi-view face 3D reconstruction and explores the implementation of a Flame based multi-view training and testing framework for contributing to the field of face 3D reconstruction.
