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Face Normals "In-the-Wild" Using Fully Convolutional Networks

https://doi.org/10.1109/cvpr.2017.44

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/0-387-27257-7_14openalex-snapshot

Face Databases

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_15openalex-snapshot

Intrinsic Face Image Decomposition with Human Face Priors

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_31openalex-snapshot

Discriminatively Trained Dense Surface Normal Estimation

inferredcites →https://doi.org/10.1007/978-3-642-33712-3_49openalex-snapshot

Interactive Facial Feature Localization

inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot

Indoor Segmentation and Support Inference from RGBD Images

inferredcites →https://doi.org/10.1007/s11263-006-8815-7openalex-snapshot

Photometric Stereo with General, Unknown Lighting

inferredcites →https://doi.org/10.1007/s11263-007-0074-8openalex-snapshot

Facial Shape-from-shading and Recognition Using Principal Geodesic Analysis and Robust Statistics

inferredcites →https://doi.org/10.1016/j.cviu.2007.09.003openalex-snapshot

Numerical methods for shape-from-shading: A new survey with benchmarks

inferredcites →https://doi.org/10.1016/j.imavis.2009.08.002openalex-snapshot

Multi-PIE

inferredcites →https://doi.org/10.1016/j.imavis.2014.06.002openalex-snapshot

BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database

inferredcites →https://doi.org/10.1016/j.imavis.2016.01.002openalex-snapshot

300 Faces In-The-Wild Challenge: database and results

inferredcites →https://doi.org/10.1016/s0262-8856(97)00070-xopenalex-snapshot

The FERET database and evaluation procedure for face-recognition algorithms

inferredcites →https://doi.org/10.1023/a:1008180726317openalex-snapshot

Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability

inferredcites →https://doi.org/10.1023/a:1011174803800openalex-snapshot

Contour and Texture Analysis for Image Segmentation

inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot

Distinctive Image Features from Scale-Invariant Keypoints

inferredcites →https://doi.org/10.1109/34.3909openalex-snapshot

A method for enforcing integrability in shape from shading algorithms

inferredcites →https://doi.org/10.1109/34.784284openalex-snapshot

Shape-from-shading: a survey

inferredcites →https://doi.org/10.1109/34.817406openalex-snapshot

New constraints on data-closeness and needle map consistency for shape-from-shading

inferredcites →https://doi.org/10.1109/34.927464openalex-snapshot

From few to many: illumination cone models for face recognition under variable lighting and pose

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/9780470544976.ch9openalex-snapshot

GradientBased Learning Applied to Document Recognition

inferredcites →https://doi.org/10.1109/afgr.2000.840611openalex-snapshot

Comprehensive database for facial expression analysis

inferredcites →https://doi.org/10.1109/afgr.2002.1004130openalex-snapshot

The CMU Pose, Illumination, and Expression (PIE) database

inferredcites →https://doi.org/10.1109/afgr.2008.4813324openalex-snapshot

A high-resolution 3D dynamic facial expression database

inferredcites →https://doi.org/10.1109/avss.2009.58openalex-snapshot

A 3D Face Model for Pose and Illumination Invariant Face Recognition

inferredcites →https://doi.org/10.1109/cvpr.2005.268openalex-snapshot

Overview of the Face Recognition Grand Challenge

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2014.139openalex-snapshot

Kernel-PCA Analysis of Surface Normals for Shape-from-Shading

inferredcites →https://doi.org/10.1109/cvpr.2015.7298604openalex-snapshot

Automatic construction Of robust spherical harmonic subspaces

inferredcites →https://doi.org/10.1109/cvpr.2015.7298636openalex-snapshot

Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection

inferredcites →https://doi.org/10.1109/cvpr.2015.7298642openalex-snapshot

Hypercolumns for object segmentation and fine-grained localization

inferredcites →https://doi.org/10.1109/cvpr.2015.7298652openalex-snapshot

Designing deep networks for surface normal estimation

inferredcites →https://doi.org/10.1109/cvpr.2015.7298716openalex-snapshot

Discriminative shape from shading in uncalibrated illumination

inferredcites →https://doi.org/10.1109/cvpr.2015.7298876openalex-snapshot

Unconstrained 3D face reconstruction

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.23openalex-snapshot

Face Alignment Across Large Poses: A 3D Solution

inferredcites →https://doi.org/10.1109/cvpr.2016.454openalex-snapshot

Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting

inferredcites →https://doi.org/10.1109/cvpr.2016.455openalex-snapshot

Adaptive 3D Face Reconstruction from Unconstrained Photo Collections

inferredcites →https://doi.org/10.1109/cvpr.2016.591openalex-snapshot

Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction

inferredcites →https://doi.org/10.1109/cvpr.2016.598openalex-snapshot

A 3D Morphable Model Learnt from 10,000 Faces

inferredcites →https://doi.org/10.1109/cvpr.2016.642openalex-snapshot

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvprw.2011.5981840openalex-snapshot

The Photoface database

inferredcites →https://doi.org/10.1109/fg.2011.5771467openalex-snapshot

Effect of illumination on automatic expression recognition: A novel 3D relightable facial database

inferredcites →https://doi.org/10.1109/fgr.2006.6openalex-snapshot

A 3D Facial Expression Database For Facial Behavior Research

inferredcites →https://doi.org/10.1109/iccv.2011.6126439openalex-snapshot

Face reconstruction in the wild

inferredcites →https://doi.org/10.1109/iccv.2013.404openalex-snapshot

Internet Based Morphable Model

inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot

Fast R-CNN

inferredcites →https://doi.org/10.1109/iccv.2015.304openalex-snapshot

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture

inferredcites →https://doi.org/10.1109/iccv.2015.343openalex-snapshot

Face Flow

inferredcites →https://doi.org/10.1109/iccvw.2011.6130298openalex-snapshot

Indoor scene segmentation using a structured light sensor

inferredcites →https://doi.org/10.1109/iccvw.2013.59openalex-snapshot

300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge

inferredcites →https://doi.org/10.1109/tpami.2002.1039204openalex-snapshot

Analytic PCA construction for theoretical analysis of lighting variability in images of a Lambertian object

inferredcites →https://doi.org/10.1109/tpami.2003.1177153openalex-snapshot

Lambertian reflectance and linear subspaces

inferredcites →https://doi.org/10.1109/tpami.2006.251openalex-snapshot

Recovering Facial Shape Using a Statistical Model of Surface Normal Direction

inferredcites →https://doi.org/10.1109/tpami.2010.63openalex-snapshot

3D Face Reconstruction from a Single Image Using a Single Reference Face Shape

inferredcites →https://doi.org/10.1109/tpami.2014.2377712openalex-snapshot

Shape, Illumination, and Reflectance from Shading

inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

inferredcites →https://doi.org/10.1109/tvcg.2013.249openalex-snapshot

FaceWarehouse: A 3D Facial Expression Database for Visual Computing

inferredcites →https://doi.org/10.1117/12.7972479openalex-snapshot

Photometric Method For Determining Surface Orientation From Multiple Images

inferredcites →https://doi.org/10.1145/311535.311556openalex-snapshot

A morphable model for the synthesis of 3D faces

inferredcites →https://doi.org/10.1162/jocn.1991.3.1.71openalex-snapshot

Eigenfaces for Recognition

inferredcites →https://doi.org/10.1364/josaa.4.000519openalex-snapshot

Low-dimensional procedure for the characterization of human faces

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

inferredcites →https://doi.org/10.5244/c.24.75openalex-snapshot

A Linear Approach to Face Shape and Texture Recovery using a 3D Morphable Model

inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/widm.1278openalex-snapshot

Expression of Concern: Facial feature discovery for ethnicity recognition

inferred← citeshttps://doi.org/10.1007/978-3-030-74717-6_27openalex-snapshot

Geometric Surface Image Prediction for Image Recognition Enhancement

inferred← citeshttps://doi.org/10.1007/978-981-33-6033-4_16openalex-snapshot

View Consistent 3D Face Reconstruction Using Siamese Encoder-Decoders

inferred← citeshttps://doi.org/10.1007/978-981-99-8469-5_1openalex-snapshot

Spoof-Guided Image Decomposition for Face Anti-spoofing

inferred← citeshttps://doi.org/10.1007/s11263-018-1090-6openalex-snapshot

An Approximate Shading Model with Detail Decomposition for Object Relighting

inferred← citeshttps://doi.org/10.1016/j.cosrev.2021.100400openalex-snapshot

Survey on 3D face reconstruction from uncalibrated images

inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.09.012openalex-snapshot

An overview of face-related technologies

inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.102586openalex-snapshot

FISH: Face intensity-shape histogram representation for automatic face splicing detection

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110975openalex-snapshot

Driving mutual advancement of 3D reconstruction and inpainting for masked faces

inferred← citeshttps://doi.org/10.1016/j.patrec.2021.11.022openalex-snapshot

High-fidelity 3D face reconstruction with multi-scale details

inferred← citeshttps://doi.org/10.1109/access.2018.2880494openalex-snapshot

Reformed Residual Network With Sparse Feedbacks for 3D Reconstruction From a Single Image

inferred← citeshttps://doi.org/10.1109/access.2019.2938878openalex-snapshot

Shortcut-Upsampling Block for 3D Face Reconstruction and Dense Alignment via Position Map

inferred← citeshttps://doi.org/10.1109/access.2020.2982939openalex-snapshot

GeminiNet: Combine Fully Convolution Network With Structure of Receptive Fields for Object Detection

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00487openalex-snapshot

Sparse Photometric 3D Face Reconstruction Guided by Morphable Models

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00877openalex-snapshot

Mesoscopic Facial Geometry Inference Using Deep Neural Networks

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00347openalex-snapshot

Learning Formation of Physically-Based Face Attributes

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00503openalex-snapshot

Cross-Modal Deep Face Normals With Deactivable Skip Connections

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01399openalex-snapshot

Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01971openalex-snapshot

Physically-guided Disentangled Implicit Rendering for 3D Face Modeling

inferred← citeshttps://doi.org/10.1109/iccvw.2017.295openalex-snapshot

Pix2Face: Direct 3D Face Model Estimation

inferred← citeshttps://doi.org/10.1109/iccvw.2019.00498openalex-snapshot

Patch-Based Reconstruction of a Textureless Deformable 3D Surface from a Single RGB Image

inferred← citeshttps://doi.org/10.1109/icme57554.2024.10687847openalex-snapshot

FNFORMER: A Transformer-Based Face Normal Estimator

inferred← citeshttps://doi.org/10.1109/icme57554.2024.10687861openalex-snapshot

IE-aware Consistency Losses for Detailed 3D Face Reconstruction from Multiple Images in the Wild

inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197518openalex-snapshot

Clear Grasp: 3D Shape Estimation of Transparent Objects for Manipulation

inferred← citeshttps://doi.org/10.1109/ictc.2018.8539500openalex-snapshot

Segmentation and Reconstruction of 3D Models from a Point Cloud with Deep Neural Networks

inferred← citeshttps://doi.org/10.1109/ijcnn.2019.8852349openalex-snapshot

A Unified Multi-output Semi-supervised Network for 3D Face Reconstruction

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Recovery of Superquadrics from Range Images using Deep Learning: A Preliminary Study

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Face Inverse Rendering via Hierarchical Decoupling

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High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder

inferred← citeshttps://doi.org/10.1109/tpami.2019.2923621openalex-snapshot

Photometric Depth Super-Resolution

inferred← citeshttps://doi.org/10.1109/tpami.2020.3046915openalex-snapshot

SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild

inferred← citeshttps://doi.org/10.1109/tpami.2021.3080586openalex-snapshot

Hybrid Face Reflectance, Illumination, and Shape from a Single Image

inferred← citeshttps://doi.org/10.1109/tvt.2019.2937076openalex-snapshot

Video Foreground Extraction Using Multi-View Receptive Field and Encoder–Decoder DCNN for Traffic and Surveillance Applications

inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00303openalex-snapshot

Task-Assisted Domain Adaptation with Anchor Tasks

inferred← citeshttps://doi.org/10.1145/3278471.3278473openalex-snapshot

Feature-preserving detailed 3D face reconstruction from a single image

inferred← citeshttps://doi.org/10.1145/3503161.3547959openalex-snapshot

Towards High-Fidelity Face Normal Estimation

inferred← citeshttps://doi.org/10.1145/3664647.3680840openalex-snapshot

Fooling 3D Face Recognition with One Single 2D Image

inferred← citeshttps://doi.org/10.48550/arxiv.1801.06593openalex-snapshot

A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field

inferred← citeshttps://doi.org/10.48550/arxiv.2003.09691openalex-snapshot

Cross-modal Deep Face Normals with Deactivable Skip Connections

inferred← citeshttps://doi.org/10.48550/arxiv.2106.15305openalex-snapshot

Joint Learning of Portrait Intrinsic Decomposition and Relighting

inferred← citeshttps://doi.org/10.70675/4089da6dz0ee2z46ffzbab1zc5bbf12a916bopenalex-snapshot

Large-scale learning of shape and motion models for the 3D face

inferred← citeshttps://doi.org/10.70675/bd09a4faz6f12z42fezbd3fz98e8b12255eeopenalex-snapshot

Proposition d’approches utilisant les réseaux de neurones profonds et les méthodes géométriques pour la reconstruction d’un visage 3D à partir d’une seule image

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