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Weakly-Supervised Multi-Face 3D Reconstruction
[article]
2021
arXiv
pre-print
Preserved Fulltext
The de-facto pipeline for estimating the parametric face model from an image requires to firstly detect the facial regions with landmarks, and then crop each face to feed the deep learning-based regressor ...
More importantly, we employ the same global camera model for the reconstructed faces in each image, which makes it possible to recover the relative head positions and orientations in the 3D scene. ...
With the prevalence of deep learning, 3D face reconstruction from a single image becomes promising, in which the deep models are learned without 3D labels in the unsupervised or weakly-supervised fashion ...
arXiv:2101.02000v1
fatcat:hstsoyvc75ew7pk5salpxpy3vq
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
[article]
2020
arXiv
pre-print
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Recent methods typically aim to learn a CNN-based 3D face model that regresses coefficients of 3D Morphable Model (3DMM) from 2D images to render 3D face reconstruction or dense face alignment. ...
3D face model learning. ...
Conclusion In this paper, we propose a novel 2D-Assisted Selfsupervised Learning (2DASL) method for 3D face reconstruction and dense face alignment based on the 3D Morphable face Model. ...
arXiv:1903.09359v2
fatcat:36qg3p4rine2fp2464j6jh2cni
Nonlinear 3D Face Morphable Model
[article]
2018
arXiv
pre-print
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As a classic statistical model of 3D facial shape and texture, 3D Morphable Model (3DMM) is widely used in facial analysis, e.g., model fitting, image synthesis. ...
To address these problems, this paper proposes an innovative framework to learn a nonlinear 3DMM model from a large set of unconstrained face images, without collecting 3D face scans. ...
Figure 1 : 1 Conventional 3DMM employs linear bases models for
Figure 2 : 2 Jointly learning a nonlinear 3DMM and its fitting algorithm from unconstrained 2D face images, in a weakly supervised fashion ...
arXiv:1804.03786v3
fatcat:xxrfugvfcrgrvmhnbw6h7lfoo4
From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
[article]
2024
arXiv
pre-print
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2024 pre-print arXiv:2204.03842v3 fatcat:nkykcfyxxrbbpd4clqvfmgpovaOther Versions
While weakly supervised multi-view face reconstruction (MVR) is garnering increased attention, one critical issue still remains open: how to effectively fuse multiple image information to reconstruct high-precision ...
Without 3D annotation, DF-MVR achieves 5.2% and 3.0% RMSE improvement over the existing weakly supervised MVRs respectively on Pixel-Face and Bosphorus dataset. ...
Surprisingly, there are few multi-view 3D face reconstruction methods based on weakly supervised machine learning in the literature. ...
arXiv:2204.03842v4
fatcat:5xvljq24njevjeyedpxmusduvq
Hybrid Approach for 3D Head Reconstruction: Using Neural Networks and Visual Geometry
[article]
2021
arXiv
pre-print
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In this paper, we present a novel method for reconstructing 3D heads from a single or multiple image(s) using a hybrid approach based on deep learning and geometric techniques. ...
Landmarks are used for the pose computation and the initialization of the optimization problem, which, in turn, reconstructs the 3D head geometry by using a parametric morphable model and normal vector ...
A novel deep 3D face reconstruction approach in [24] uses a hybrid loss function for weakly-supervised learning. More recently, Wang et al. ...
arXiv:2104.13710v1
fatcat:wg3dvn2lwnd47hh6idbj5eio6y
Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders
[article]
2019
arXiv
pre-print
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3D Morphable Models (3DMMs) are statistical models that represent facial texture and shape variations using a set of linear bases and more particular Principal Component Analysis (PCA). 3DMMs were used ...
as statistical priors for reconstructing 3D faces from images by solving non-linear least square optimization problems. ...
Face Reconstruction We first qualitatively compare our approach with five recent state-of-the-art 3D face reconstruction methods: (1) 3DMM fitting networks learned in a supervised way (Sela et al ...
arXiv:1904.03525v1
fatcat:5jclnx5xdfek7aotmsny6clqyy
Hybrid Approach for 3D Head Reconstruction: Using Neural Networks and Visual Geometry
2021
2020 25th International Conference on Pattern Recognition (ICPR)
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In this paper, we present a novel method for reconstructing 3D heads from a single or multiple image(s) using a hybrid approach based on deep learning and geometric techniques. ...
Landmarks are used for the pose computation and the initialization of the optimization problem, which, in turn, reconstructs the 3D head geometry by using a parametric morphable model and normal vector ...
A novel deep 3D face reconstruction approach in [24] uses a hybrid loss function for weakly-supervised learning. More recently, Wang et al. ...
doi:10.1109/icpr48806.2021.9412782
fatcat:qdbv6wi7djav5eyo5lnlricxou
Fast 3D Face Reconstruction from a Single Image Using Different Deep Learning Approaches for Facial Palsy Patients
2022
Bioengineering
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The recent development of deep learning (DL) models opens new challenges for 3D shape reconstruction from a single image. ...
Before using the procedure to reconstruct the 3D faces of patients with facial palsy or other facial disorders, several ideas for increasing the accuracy of the reconstruction can be discussed based on ...
The third applied method reconstructs the 3D face of the patient with weakly-supervised learning to regress the shape and texture coefficients from a given input image [53] . ...
doi:10.3390/bioengineering9110619
pmid:36354529
pmcid:PMC9687570
fatcat:zairlomkp5ei3ojttwyr6wtk3u
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
[article]
2020
arXiv
pre-print
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In this paper, we propose a novel deep 3D face reconstruction approach that 1) leverages a robust, hybrid loss function for weakly-supervised learning which takes into account both low-level and perception-level ...
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 ...
Our goal in this paper is to obtain accurate 3D face reconstruction with weakly-supervised learning. ...
arXiv:1903.08527v2
fatcat:nwscyixadfeqlktsv4vjyiqzpa
Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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2019) Dense 3D face decoding over 2500FPS: Joint texture and shape convolutional mesh decoders. ...
Face Reconstruction We first qualitatively compare our approach with five recent state-of-the-art 3D face reconstruction methods: (1) 3DMM fitting networks learned in a supervised way (Sela et al ...
Methods based on 3DMMs are still among the state-of-the-art for 3D face reconstruction, even from images captured in-the-wild [6, 4, 5] . ...
doi:10.1109/cvpr.2019.00119
dblp:conf/cvpr/ZhouDKZ19
fatcat:rtekvvjtd5bvtcahlx3anjmgpi
Accurate 3D Face Reconstruction With Weakly-Supervised Learning: From Single Image to Image Set
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Recently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency. ...
In this paper, we propose a novel deep 3D face reconstruction approach that 1) leverages a robust, hybrid loss function for weakly-supervised learning which takes into account both low-level and perception-level ...
Our goal in this paper is to obtain accurate 3D face reconstruction with weakly-supervised learning. ...
doi:10.1109/cvprw.2019.00038
dblp:conf/cvpr/DengYX0JT19
fatcat:xcfulxaqfjafjlwoasjlcxw5r4
3D Face Modeling From Diverse Raw Scan Data
[article]
2019
arXiv
pre-print
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Further, we propose a weakly supervised learning approach that does not require correspondence label for the scans. ...
Traditional 3D face models learn a latent representation of faces using linear subspaces from limited scans of a single database. ...
In summary, the contributions of this work include: We propose a new encoder-decoder framework that for the first time jointly learns face models directly from raw We devise a weakly-supervised learning ...
arXiv:1902.04943v3
fatcat:sog6ywiglvhvbecqbq6lymzkse
Sphere Face Model:A 3D Morphable Model with Hypersphere Manifold Latent Space
[article]
2021
arXiv
pre-print
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3D Morphable Models (3DMMs) are generative models for face shape and appearance. ...
The core of our SFM is the basis matrix which can be used to reconstruct 3D face shapes, and the basic matrix is learned by adopting a two-stage training approach where 3D and 2D training data are used ...
In Proceedings of the IEEE Conference
curate 3d face reconstruction with weakly-supervised learn- on Computer Vision and Pattern Recognition, pages 5216–
ing: From single image to image ...
arXiv:2112.02238v1
fatcat:bjeqwk3pcjfhbouwqrp4twu6zi
Towards High-fidelity Nonlinear 3D Face Morphable Model
[article]
2019
arXiv
pre-print
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As a result, our model achieves state-of-the-art performance on 3D face reconstruction by solely optimizing latent representations. ...
By improving the nonlinear 3D morphable model in both learning objective and network architecture, we present a model which is superior in capturing higher level of details than the linear or its precedent ...
To better handle the ambiguity, one must rely on additional prior assumptions, such as constraining faces to lie in a restricted subspace, e.g., 3D Morphable Models (3DMM) [6] learned from a small 3D ...
arXiv:1904.04933v1
fatcat:g4sip656jfax3lxjbvo6pqljjq
Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks
[article]
2020
arXiv
pre-print
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3D Morphable Model (3DMM) based methods have achieved great success in recovering 3D face shapes from single-view images. ...
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. ...
Related Work
Morphable 3D Face Models Blanz and Vetter [3] introduced the first 3D morphable face model twenty years ago. ...
arXiv:2003.05653v3
fatcat:pc6fsavlmzamvmaxt2ocw4tgra
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