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3D Point Cloud Reconstruction

Encoding and reconstruction of 3D point clouds.

Papers

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Showing 1–22 of 22 papers

TitleStatusHype
Local and Global Point Cloud Reconstruction for 3D Hand Pose EstimationCode1
Learning to SampleCode1
Through the Looking Glass: Neural 3D Reconstruction of Transparent ShapesCode1
From Image Collections to Point Clouds with Self-supervised Shape and Pose NetworksCode1
Canonical Capsules: Self-Supervised Capsules in Canonical PoseCode1
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point CloudCode1
SampleNet: Differentiable Point Cloud SamplingCode1
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single ImageCode0
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D SupervisionCode0
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid NetworkCode0
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
Real-time Scalable Dense Surfel MappingCode0
Hyperbolic-constraint Point Cloud Reconstruction from Single RGB-D Images—0
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering—0
Constrained Diffusion Implicit Models—0
Visual Enhanced 3D Point Cloud Reconstruction from A Single Image—0
APC2Mesh: Bridging the gap from occluded building façades to full 3D models—0
Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors—0
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models—0
DiffS-NOCS: 3D Point Cloud Reconstruction through Coloring Sketches to NOCS Maps Using Diffusion Models—0
Differentiable Spline Approximations—0
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