Point cloud reconstruction

33 papers with code • 0 benchmarks • 0 datasets

This task aims to solve inherent problems in raw point clouds: sparsity, noise, and irregularity.

Most implemented papers

SO-Net: Self-Organizing Network for Point Cloud Analysis

lijx10/SO-Net CVPR 2018

This paper presents SO-Net, a permutation invariant architecture for deep learning with orderless point clouds.

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud

maudzung/YOLO3D-YOLOv4-PyTorch 7 Aug 2018

LiDAR sensors are employed to provide the 3D point cloud reconstruction of the surrounding environment, while the task of 3D object bounding box detection in real time remains a strong algorithmic challenge.

Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking

yhw-yhw/D2HC-RMVSNet ECCV 2020

In this paper, we propose an efficient and effective dense hybrid recurrent multi-view stereo net with dynamic consistency checking, namely $D^{2}$HC-RMVSNet, for accurate dense point cloud reconstruction.

PointMixer: MLP-Mixer for Point Cloud Understanding

lifebeyondexpectations/eccv22-pointmixer 22 Nov 2021

MLP-Mixer has newly appeared as a new challenger against the realm of CNNs and transformer.

3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image

val-iisc/3d-psrnet 30 Sep 2018

We propose a mechanism to reconstruct part annotated 3D point clouds of objects given just a single input image.

CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision

val-iisc/capnet 28 Nov 2018

We consider the task of single image 3D point cloud reconstruction, and aim to utilize multiple foreground masks as our supervisory data to alleviate the need for large scale 3D datasets.

Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network

val-iisc/densepcr 25 Jan 2019

Through extensive quantitative and qualitative evaluation on synthetic and real datasets, we demonstrate that DensePCR outperforms the existing state-of-the-art point cloud reconstruction works, while also providing a light-weight and scalable architecture for predicting high-resolution outputs.

Silhouette Guided Point Cloud Reconstruction beyond Occlusion

zouchuhang/Silhouette-Guided-3D 29 Jul 2019

One major challenge in 3D reconstruction is to infer the complete shape geometry from partial foreground occlusions.

Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation

yhw-yhw/PVAMVSNet ECCV 2020

n this paper, we propose an effective and efficient pyramid multi-view stereo (MVS) net with self-adaptive view aggregation for accurate and complete dense point cloud reconstruction.