3D Face Reconstruction

3D face reconstruction is the task of reconstructing a face from an image into a 3D form (or mesh).

( Image credit: Deep3DFaceReconstruction )

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Latest papers with code

Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model

20 Apr 2020Juyong/CaricatureFace

To this end, we first build a dataset with various styles of 2D caricatures and their corresponding 3D shapes, and then build a parametric model on vertex based deformation space for 3D caricature face.

3D FACE RECONSTRUCTION CARICATURE

65
20 Apr 2020

AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"

30 Mar 2020lattas/avatarme

Over the last years, with the advent of Generative Adversarial Networks (GANs), many face analysis tasks have accomplished astounding performance, with applications including, but not limited to, face generation and 3D face reconstruction from a single "in-the-wild" image.

3D FACE RECONSTRUCTION FACE GENERATION

210
30 Mar 2020

Lightweight Photometric Stereo for Facial Details Recovery

27 Mar 2020Juyong/FacePSNet

Recently, 3D face reconstruction from a single image has achieved great success with the help of deep learning and shape prior knowledge, but they often fail to produce accurate geometry details.

3D FACE RECONSTRUCTION DATA AUGMENTATION

54
27 Mar 2020

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

12 Mar 2020yiyuan1991/3D-Face-GCNs

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.

3D FACE RECONSTRUCTION

22
12 Mar 2020

Face Manifold: Manifold Learning for Synthetic Face Generation

3 Oct 2019SCL-UT/face-manifold

The main challenge of such techniques is a vital need for large 3D face datasets.

3D FACE RECONSTRUCTION DENOISING FACE GENERATION FACE RECOGNITION

18
03 Oct 2019

DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction

ICCV 2019 xiaoxingzeng/DF2Net

In addition, we introduce three types of data to train these networks, including 3D model synthetic data, 2D image reconstructed data, and fine facial images.

3D FACE RECONSTRUCTION

65
01 Oct 2019

Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment

30 Aug 2019LeiJiangJNU/DAMDNet

3D face alignment of monocular images is a crucial process in the recognition of faces with disguise. 3D face reconstruction facilitated by alignment can restore the face structure which is helpful in detcting disguise interference. This paper proposes a dual attention mechanism and an efficient end-to-end 3D face alignment framework. We build a stable network model through Depthwise Separable Convolution, Densely Connected Convolutional and Lightweight Channel Attention Mechanism.

3D FACE RECONSTRUCTION FACE ALIGNMENT

45
30 Aug 2019

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

CVPR 2019 soubhiksanyal/RingNet

The estimation of 3D face shape from a single image must be robust to variations in lighting, head pose, expression, facial hair, makeup, and occlusions.

3D FACE RECONSTRUCTION

371
16 May 2019

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

22 Mar 2019XgTu/2DASL-CNN

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

3D FACE RECONSTRUCTION FACE ALIGNMENT SELF-SUPERVISED LEARNING

336
22 Mar 2019

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

20 Mar 2019Microsoft/Deep3DFaceReconstruction

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.

3D FACE RECONSTRUCTION

504
20 Mar 2019