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 )
Benchmarks
These leaderboards are used to track progress in Face Reconstruction
FaceWarehouse
FaceScape
ICT-3DHP
Most implemented papers
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
serengil/deepface
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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.
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
The 3D shapes of faces are well known to be discriminative.
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
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
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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
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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
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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
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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
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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
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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
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However, in real-world scenario end-users often only have one target face at hand, rendering existing methods inapplicable.
