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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 126–150 of 259 papers

TitleStatusHype
3D face reconstruction from single image with generative adversarial networks—0
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution—0
Facial Action Units Detection Aided by Global-Local Expression Embedding—0
BareSkinNet: De-makeup and De-lighting via 3D Face Reconstruction—0
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition—0
Learning to regulate 3D head shape by removing occluding hair from in-the-wild images—0
Perspective Reconstruction of Human Faces by Joint Mesh and Landmark RegressionCode0
GAN2X: Non-Lambertian Inverse Rendering of Image GANs—0
Parametric Reshaping of Portraits in Videos—0
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping—0
JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction—0
3D face reconstruction with dense landmarks—0
S2F2: Self-Supervised High Fidelity Face Reconstruction from Monocular Image—0
BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs—0
3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs—0
Data standardization for robust lip sync—0
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze EstimationCode0
Learning To Restore 3D Face From In-the-Wild Degraded Images—0
Enhancing Face Recognition With Self-Supervised 3D Reconstruction—0
Segmentation-Reconstruction-Guided Facial Image De-occlusion—0
Implicit Neural Deformation for Sparse-View Face Reconstruction—0
Sphere Face Model:A 3D Morphable Model with Hypersphere Manifold Latent Space—0
Attention based Occlusion Removal for Hybrid Telepresence Systems—0
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior—0
A Review of 3D Face Reconstruction From a Single Image—0
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