Object Reconstruction
77 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Object Reconstruction
A Large Dataset of Object Scans
HOWS
Most implemented papers
CoReNet: Coherent 3D scene reconstruction from a single RGB image
google-research/corenet
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ECCV 2020
Furthermore, we adapt our model to address the harder task of reconstructing multiple objects from a single image.
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
As a result, our CONTHO achieves state-of-the-art performance in both human-object contact estimation and joint reconstruction of 3D human and object.
Hierarchical Surface Prediction for 3D Object Reconstruction
A major limitation of such approaches is that they only predict a coarse resolution voxel grid, which does not capture the surface of the objects well.
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
We introduce a data-driven approach to aid the repairing and conservation of archaeological objects: ORGAN, an object reconstruction generative adversarial network (GAN).
Learning Free-Form Deformations for 3D Object Reconstruction
Representing 3D shape in deep learning frameworks in an accurate, efficient and compact manner still remains an open challenge.
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
qweas120/PSVH-3d-reconstruction
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The key idea of our method is to leverage object mask and pose estimation from CNNs to assist the 3D shape learning by constructing a probabilistic single-view visual hull inside of the network.
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
EdwardSmith1884/GEOMetrics
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Mesh models are a promising approach for encoding the structure of 3D objects.
Multi-camera calibration with pattern rigs, including for non-overlapping cameras: CALICO
Infrastructure-based approaches are not suitable for stationary camera systems, and pattern-based approaches may constrain camera placement because shared fields of view or extremely large patterns are required.
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
chenhsuanlin/photometric-mesh-optim
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CVPR 2019
In this paper, we address the problem of 3D object mesh reconstruction from RGB videos.
IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction
Inferring 3D scene information from 2D observations is an open problem in computer vision.
