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Face Reconstruction

Face reconstruction is the task of recovering the facial geometry of a face from an image.

( Image credit: Microsoft Deep3DFaceReconstruction )

Papers

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Showing 51–75 of 259 papers

TitleStatusHype
3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights—0
Adaptive 3D Face Reconstruction from a Single Image—0
FaceGPT: Self-supervised Learning to Chat about 3D Human Faces—0
Discriminative Deep Feature Visualization for Explainable Face Recognition—0
Adaptive 3D Face Reconstruction From Unconstrained Photo Collections—0
3D Face Reconstruction by Learning from Synthetic Data—0
3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction—0
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition—0
Disjoint Pose and Shape for 3D Face Reconstruction—0
DNPM: A Neural Parametric Model for the Synthesis of Facial Geometric Details—0
FaceLift: Semi-supervised 3D Facial Landmark Localization—0
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?—0
Deception Detection by 2D-to-3D Face Reconstruction from Videos—0
Accurate 3D Face Reconstruction with Facial Component Tokens—0
3D Face Reconstruction: the Road to Forensics—0
Continuous Landmark Detection With 3D Queries—0
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method—0
3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head—0
Face De-occlusion using 3D Morphable Model and Generative Adversarial Network—0
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images—0
B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling for Face Reconstruction—0
3D human tongue reconstruction from single "in-the-wild" images—0
3D face reconstruction from single image with generative adversarial networks—0
3D Dense Face Alignment via Graph Convolution Networks—0
Face frontalization for Alignment and Recognition—0
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