Face Reconstruction

68 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

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.

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.

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set

Microsoft/Deep3DFaceReconstruction 20 Mar 2019

Recently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency. However, training deep neural networks typically requires a large volume of data, whereas face images with ground-truth 3D face shapes are scarce.

Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs

thepowerfuldeez/facemesh.pytorch 15 Jul 2019

The relatively dense mesh model of 468 vertices is well-suited for face-based AR effects.

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.

Face Alignment in Full Pose Range: A 3D Total Solution

cleardusk/3DDFA 2 Apr 2018

In this paper, we propose to tackle these three challenges in an new alignment framework termed 3D Dense Face Alignment (3DDFA), in which a dense 3D Morphable Model (3DMM) is fitted to the image via Cascaded Convolutional Neural Networks.

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.

One-shot Face Reenactment

bj80heyue/Learning_One_Shot_Face_Reenactment 5 Aug 2019

However, in real-world scenario end-users often only have one target face at hand, rendering existing methods inapplicable.