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awesome-3d-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

c2no

Point Cloud Clustering: Constant size, Compact and Non-Overlapping

csd_lmnn

Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval

dw

Matlab Implementation of Diffusion Wavelets

gitlhevcanalyzer

Gitl HEVC/H.265 Analyzer based on Qt. Custom filters supported.

go-icp

Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration

heatkernelsignature

Heat Kernel Signature Code

ispm

Intrinsic Spatial Pyramid Matching (ISPM) on 3D meshed surfaces.

isscabac

Context-based adaptive binary arithmetic coding for informed source separation

libmorton

C++ header-only library with methods to efficiently encode/decode Morton codes in/from 2D/3D coordinates

matlab

matlab-computer-vision-routines

mpeg-pcc-tmc13

Geometry based point cloud compression (G-PCC) test model

pcdlaplace

Wrapper for Mikhail Belkin et. al's Pointcloud LB operator. Not dependent on PCL

pcl-notes

pcl learning notes

pcl11

pclbo

Laplace-Beltrami Operator for PCL

pcsimp

point cloud simplification....

point-set-matching-registration-material

A list of point set matching/registration resources collected by Gang Wang

pointcloud

pointcnn

CNN Generalized for Consuming Point Cloud Data

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pwc

Papers with code. Sorted by stars. Updated weekly.

render_kinect

Simulation of Kinect Measurements

shot

C++ implementation of the SHOT 3D descriptor

sjtu-bus

上海交大校车时刻表（校园巴士+教工班车）

sjtuthesis

上海交通大学 XeLaTeX 学位论文及课程论文模板 Shanghai Jiao Tong University XeLaTeX Thesis Template

spectral_descriptors

A collection of spectral descriptors for 3D meshed surfaces

ssl_opt

Optimized matlab code for computing Laplacian eigenvectors using Laplace Beltrami operator eigenfunctions in Semi-supervised Learning.