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Learning Dense Facial Correspondences in Unconstrained Images

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What this work says

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

inferredcites →https://doi.org/10.1006/cviu.1996.0006openalex-snapshot
The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_7openalex-snapshot
Facial Landmark Detection by Deep Multi-task Learning
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_3openalex-snapshot
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
inferredcites →https://doi.org/10.1007/978-3-319-46454-1_33openalex-snapshot
Joint Face Alignment and 3D Face Reconstruction
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_15openalex-snapshot
Real-Time Facial Segmentation and Performance Capture from RGB Input
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_5openalex-snapshot
Face Recognition Using a Unified 3D Morphable Model
inferredcites →https://doi.org/10.1007/978-3-642-15558-1_3openalex-snapshot
The Generalized PatchMatch Correspondence Algorithm
inferredcites →https://doi.org/10.1007/s11263-010-0380-4openalex-snapshot
Deformable Model Fitting by Regularized Landmark Mean-Shift
inferredcites →https://doi.org/10.1007/s11263-010-0390-2openalex-snapshot
A Database and Evaluation Methodology for Optical Flow
inferredcites →https://doi.org/10.1007/s11263-013-0667-3openalex-snapshot
Face Alignment by Explicit Shape Regression
inferredcites →https://doi.org/10.1016/0004-3702(81)90024-2openalex-snapshot
Determining optical flow
inferredcites →https://doi.org/10.1016/j.patcog.2008.01.024openalex-snapshot
Automatic feature localisation with constrained local models
inferredcites →https://doi.org/10.1016/s0262-8856(02)00055-0openalex-snapshot
View-based active appearance models
inferredcites →https://doi.org/10.1023/b:visi.0000029666.37597.d3openalex-snapshot
Active Appearance Models Revisited
inferredcites →https://doi.org/10.1109/34.927467openalex-snapshot
Active appearance models
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.2005.145openalex-snapshot
Estimating 3D Shape and Texture Using Pixel Intensity, Edges, Specular Highlights, Texture Constraints and a Prior
inferredcites →https://doi.org/10.1109/cvpr.2010.5539996openalex-snapshot
Facial point detection using boosted regression and graph models
inferredcites →https://doi.org/10.1109/cvpr.2012.6248014openalex-snapshot
Face detection, pose estimation, and landmark localization in the wild
inferredcites →https://doi.org/10.1109/cvpr.2013.299openalex-snapshot
Deformable Spatial Pyramid Matching for Fast Dense Correspondences
inferredcites →https://doi.org/10.1109/cvpr.2013.442openalex-snapshot
Robust Discriminative Response Map Fitting with Constrained Local Models
inferredcites →https://doi.org/10.1109/cvpr.2013.446openalex-snapshot
Deep Convolutional Network Cascade for Facial Point Detection
inferredcites →https://doi.org/10.1109/cvpr.2013.75openalex-snapshot
Supervised Descent Method and Its Applications to Face Alignment
inferredcites →https://doi.org/10.1109/cvpr.2014.218openalex-snapshot
Face Alignment at 3000 FPS via Regressing Local Binary Features
inferredcites →https://doi.org/10.1109/cvpr.2014.240openalex-snapshot
Incremental Face Alignment in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2014.241openalex-snapshot
One millisecond face alignment with an ensemble of regression trees
inferredcites →https://doi.org/10.1109/cvpr.2014.245openalex-snapshot
3D-Aided Face Recognition Robust to Expression and Pose Variations
inferredcites →https://doi.org/10.1109/cvpr.2014.306openalex-snapshot
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model
inferredcites →https://doi.org/10.1109/cvpr.2015.7298679openalex-snapshot
High-fidelity Pose and Expression Normalization for face recognition in the wild
inferredcites →https://doi.org/10.1109/cvpr.2015.7298723openalex-snapshot
FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences
inferredcites →https://doi.org/10.1109/cvpr.2015.7298882openalex-snapshot
Global supervised descent method
inferredcites →https://doi.org/10.1109/cvpr.2015.7299048openalex-snapshot
Face alignment using cascade Gaussian process regression trees
inferredcites →https://doi.org/10.1109/cvpr.2015.7299134openalex-snapshot
Face alignment by coarse-to-fine shape searching
inferredcites →https://doi.org/10.1109/cvpr.2016.20openalex-snapshot
Learning Dense Correspondence via 3D-Guided Cycle Consistency
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.2016.262openalex-snapshot
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
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.2016.460openalex-snapshot
Joint Recovery of Dense Correspondence and Cosegmentation in Two Images
inferredcites →https://doi.org/10.1109/cvpr.2017.163openalex-snapshot
Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network
inferredcites →https://doi.org/10.1109/cvpr.2017.179openalex-snapshot
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.250openalex-snapshot
Photorealistic Facial Texture Inference Using Deep Neural Networks
inferredcites →https://doi.org/10.1109/fg.2015.7163142openalex-snapshot
Dense 3D face alignment from 2D videos in real-time
inferredcites →https://doi.org/10.1109/iccv.2007.4409106openalex-snapshot
A Nonlinear Discriminative Approach to AAM Fitting
inferredcites →https://doi.org/10.1109/iccv.2013.175openalex-snapshot
DeepFlow: Large Displacement Optical Flow with Deep Matching
inferredcites →https://doi.org/10.1109/iccv.2013.191openalex-snapshot
Robust Face Landmark Estimation under Occlusion
inferredcites →https://doi.org/10.1109/iccv.2013.244openalex-snapshot
Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model
inferredcites →https://doi.org/10.1109/iccv.2013.79openalex-snapshot
Optimization Problems for Fast AAM Fitting in-the-Wild
inferredcites →https://doi.org/10.1109/iccv.2015.316openalex-snapshot
FlowNet: Learning Optical Flow with Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.421openalex-snapshot
Pose-Invariant 3D Face Alignment
inferredcites →https://doi.org/10.1109/iccv.2015.458openalex-snapshot
Dense Semantic Correspondence Where Every Pixel is a Classifier
inferredcites →https://doi.org/10.1109/iccvw.2011.6130513openalex-snapshot
Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization
inferredcites →https://doi.org/10.1109/iccvw.2013.58openalex-snapshot
Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade
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/tip.2015.2421438openalex-snapshot
Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation
inferredcites →https://doi.org/10.1109/tpami.2003.1227983openalex-snapshot
Face recognition based on fitting a 3D morphable model
inferredcites →https://doi.org/10.1109/tpami.2010.143openalex-snapshot
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
inferredcites →https://doi.org/10.1109/tpami.2010.147openalex-snapshot
SIFT Flow: Dense Correspondence across Scenes and Its Applications
inferredcites →https://doi.org/10.1109/tvcg.2013.249openalex-snapshot
FaceWarehouse: A 3D Facial Expression Database for Visual Computing
inferredcites →https://doi.org/10.1117/12.965761openalex-snapshot
Determining Optical Flow
inferredcites →https://doi.org/10.1145/2601097.2601204openalex-snapshot
Displaced dynamic expression regression for real-time facial tracking and animation
inferredcites →https://doi.org/10.1145/2766939openalex-snapshot
Facial performance sensing head-mounted display
inferredcites →https://doi.org/10.1145/2766974openalex-snapshot
Dynamic 3D avatar creation from hand-held video input
inferredcites →https://doi.org/10.1145/2897824.2925873openalex-snapshot
Real-time facial animation with image-based dynamic avatars
inferredcites →https://doi.org/10.1145/2929464.2929475openalex-snapshot
Demo of Face2Face
inferredcites →https://doi.org/10.1145/2980179.2980252openalex-snapshot
High-fidelity facial and speech animation for VR HMDs
inferredcites →https://doi.org/10.1145/311535.311556openalex-snapshot
A morphable model for the synthesis of 3D faces
inferredcites →https://doi.org/10.3758/s13428-014-0532-5openalex-snapshot
The Chicago face database: A free stimulus set of faces and norming data
inferredcites →https://doi.org/10.48550/arxiv.1612.01925openalex-snapshot
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
inferredcites →https://doi.org/10.5244/c.28.85openalex-snapshot
Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning

What points at this work

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

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Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
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Towards Fast, Accurate and Stable 3D Dense Face Alignment
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“Look Ma, No Landmarks!” – Unsupervised, Model-Based Dense Face Alignment
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Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps
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3D Human Body Shape and Pose Estimation from Depth Image
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Learning 3D Face Reconstruction with a Pose Guidance Network
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Learning 3D Face Morphable Model from In-the-Wild Images
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Facial Landmark Localization
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CLN: Complementary Learning Network for 3D Face Reconstruction and Alignment
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Learning Collaborative Reinforcement Attention for 3D Face Reconstruction and Dense Alignment
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End-to-End 3D Face Model Reconstruction Method Based on Fusion-CNN
inferred← citeshttps://doi.org/10.1007/978-981-97-8508-7_31openalex-snapshot
Learning Multi-Branch Attention Networks for 3D Face Reconstruction
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Explicit Exploring Geometric Modality for Shape-Enhanced Single-View 3D Face Reconstruction
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3D human pose and shape estimation with dense correspondence from a single depth image
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Disentangled representation transformer network for 3D face reconstruction and robust dense alignment
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Recognition-oriented facial depth estimation from a single image
inferred← citeshttps://doi.org/10.1007/s11263-019-01197-xopenalex-snapshot
What Does 2D Geometric Information Really Tell Us About 3D Face Shape?
inferred← citeshttps://doi.org/10.1007/s11263-023-01935-2openalex-snapshot
Cascaded Iterative Transformer for Jointly Predicting Facial Landmark, Occlusion Probability and Head Pose
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113327openalex-snapshot
Multi-Level semantic and spatial hierarchy reasoning for 3D face reconstruction and dense alignment in unconstrained environments
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Simultaneous detection and diagnosis of mammogram mass using bilateral analysis and soft label based metric learning
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Example-driven modeling of portrait bas-relief
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Exploiting global and instance-level perceived feature relationship matrices for 3D face reconstruction and dense alignment
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Recovering facial reflectance and geometry from multi-view images
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Facial depth descend: A generation paradigm for facial depth map
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Unsupervised Performance Analysis of 3D Face Alignment with a Statistically Robust Confidence Test
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Regression-based methods for face alignment: A survey
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Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
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Shortcut-Upsampling Block for 3D Face Reconstruction and Dense Alignment via Position Map
inferred← citeshttps://doi.org/10.1109/cac53003.2021.9728064openalex-snapshot
MDFN: Multi-path Dynamic Fusion Network for Face Reconstruction and Dense Face Alignment
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.2019.00995openalex-snapshot
Joint Face Detection and Facial Motion Retargeting for Multiple Faces
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00501openalex-snapshot
ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction
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RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00440openalex-snapshot
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
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Learning Monocular Face Reconstruction using Multi-View Supervision
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Replay Attention and Data Augmentation Network for 3D Dense Alignment and Face Reconstruction
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413649openalex-snapshot
Multi-Granularity Feature Interaction and Relation Reasoning for 3D Dense Alignment and Face Reconstruction
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SDRNet: Shape Decoupled Regression Network for 3d face Reconstruction
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Credible and Detailed 3D Face Reconstruction in Large Pose
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Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer
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A Lightweight Network with Multi-Stage Feature Fusion Module for Single-View 3d Face Reconstruction
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Towards Rich-Detail 3D Face Reconstruction and Dense Alignment via Multi-Scale Detail Augmentation
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GNC: Geometry Normal Consistency Loss for 3D Face Reconstruction and Dense Alignment
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Multi-Attribute Regression Network for Face Reconstruction
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Think About Boundary: Fusing Multi-level Boundary Information for Landmark Heatmap Regression
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Deformable Feature Interaction Network and Graph Structure Reasoning for 3D Dense Alignment and Face Reconstruction
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Multi-Attribute Dynamic Learning for 3D Face Reconstruction and Dense Alignment in the Unconstrained Environment
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Multi-Level Feature Correction Inference Network for 3D Face Reconstruction and Dense Alignment
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Anti-Gan: Discriminating 3D reconstructed and real faces for robust facial Identity in Anti-spoofing Generator Adversarial Network
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PoLaNet: Head Pose Estimation and Face Landmarks Detection Network
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Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images
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3-D Face Alignment Using A Convolutional Point-Set Representation
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Replay Attention and Data Augmentation Network for 3-D Face and Object Reconstruction
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Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network
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Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild
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3D Face From X: Learning Face Shape From Diverse Sources
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3D Face Reconstruction From A Single Image Assisted by 2D Face Images in the Wild
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3D3M: 3D Modulated Morphable Model for Monocular Face Reconstruction
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On Learning 3D Face Morphable Model from In-the-Wild Images
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Face 2D to 3D Reconstruction Network Based on Head Pose and 3D Facial Landmarks
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3D Morphable Face Models—Past, Present, and Future
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Face repairing based on transfer learning method with fewer training samples: application to a Terracotta Warrior with facial cracks and a Buddha with a broken nose
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Reconstruction and manipulation of portraits
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Convincing 3D Face Reconstruction from a Single Color Image under Occluded Scenes
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Reconstruction of 2D Images Into 3D
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Deep Face Feature for Face Alignment
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Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment
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3D Dense Face Alignment via Graph Convolution Networks
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Dual Grid Net: hand mesh vertex regression from single depth maps
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Weakly-Supervised Multi-Face 3D Reconstruction
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Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network
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Multi-modal Analysis for the Automatic Evaluation of Epilepsy
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