Face Reconstruction

52 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 )

Most implemented papers

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

YadiraF/PRNet ECCV 2018

We propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment.

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild

serengil/deepface CVPR 2020

Though tremendous strides have been made in uncontrolled face detection, accurate and efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open challenge.

Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks

FuxiCV/3D-Face-GCNs CVPR 2020

In this paper, we introduce a method to reconstruct 3D facial shapes with high-fidelity textures from single-view images in-the-wild, without the need to capture a large-scale face texture database.

Towards Fast, Accurate and Stable 3D Dense Face Alignment

cleardusk/3DDFA_V2 ECCV 2020

Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strategy to dynamically regress a small set of 3DMM parameters, which greatly enhances speed and accuracy simultaneously.

3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild

XgTu/2DASL-CNN 22 Mar 2019

3D face reconstruction from a single 2D image is a challenging problem with broad applications.

Multilinear Wavelets: A Statistical Shape Space for Human Faces

TimoBolkart/MultilinearWaveletModel 13 Jan 2014

We show that in comparison to a global multilinear model, our model better preserves fine detail and is computationally faster, while in comparison to a localized PCA model, our model better handles variation in expression, is faster, and allows us to fix identity parameters for a given subject.

Review of Statistical Shape Spaces for 3D Data with ComparativeAnalysis for Human Faces

TimoBolkart/GlobalLocalFaceModels 4 Apr 2014

Due to the wide avail-ability of databases of high-quality data, we use the human face as the specific shape we wish to extract from corrupted data.

Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

AaronJackson/vrn ICCV 2017

Our CNN works with just a single 2D facial image, does not require accurate alignment nor establishes dense correspondence between images, works for arbitrary facial poses and expressions, and can be used to reconstruct the whole 3D facial geometry (including the non-visible parts of the face) bypassing the construction (during training) and fitting (during testing) of a 3D Morphable Model.

Extreme 3D Face Reconstruction: Seeing Through Occlusions

anhttran/extreme_3d_faces CVPR 2018

Motivated by the concept of bump mapping, we propose a layered approach which decouples estimation of a global shape from its mid-level details (e. g., wrinkles).