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3d-machine-learning

A resource repository for 3D machine learning

3d-point-capsule-networks

3D Point Capsule Networks

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3dtrans

An Open-source Codebase for exploring Continuous-learning/Pre-training-oriented Autonomous Driving Task

awesome-causal-vision

A curated list of research papers in exploring causality in vision. Link to the code if available is also present.

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-point-cloud-analysis

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

awesome-rl

Reinforcement learning resources curated

cedr

Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification

cedr-1

Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification

cl-visualizing-feature-transformation

Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cs231n-2019-summary

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deepimplicittemplates

Implementation of "Deep Implicit Templates for 3D Shape Representation"

defrec_and_pcm

Self-Supervised Learning for Domain Adaptation on Point-Clouds

depthcontrast

DepthContrast self-supervised learning for 3D

dgcnn.pytorch

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

domainbed

DomainBed is a suite to test domain generalization algorithms

gast

gbnet

Geometric Back-projection Network for Point Cloud Classification (IEEE Transactions on Multimedia, TMM 2021)

iic

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

implicitpcda

Domain Adaptation on Point Clouds via Geometry-Aware Implicits

kse

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

latent_3d_points

Auto-encoding & Generating 3D Point-Clouds.

linesegmentmatching

The code for the proposed line segment matching method

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

nesti-net

Normal estimation for unstructured 3D point clouds using convolutional neural networks and a Mixture of Experts scale predictor.

objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

optde

[ECCV2022] Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation