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3d-point-cloud-learning

3d-pretraining

Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes

3dfractaldb

[CVPR2022] Point Cloud Pre-training with Natural 3D Structures

awesome-semi-supervised-semantic-segmentation

A summary of recent semi-supervised semantic segmentation methods

cl_spatial_inductive_bias

Official PyTorch code for ICCV 23' paper Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study

clippy

Perceptual Grouping in Contrastive Vision-Language Models (ICCV'23)

cma

Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation [ICCV 2023]

css

[ICCV'23] Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation

geomae

This is the official implementation of the paper - GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training

hednet

HEDNet (NeurIPS 2023) & SAFDNet (CVPR 2024 Oral)

hgnet

Hierarchical Graph Net

mybooks

books-tech、PPT、or something

point-gnn

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.

pointcept

Pointcept: a codebase for point cloud perception research. Latest works: PPT, MSC (CVPR'23), PTv2 (NeurIPS'22)

pointclustering

pos-bert

rust-clippy

A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/

structurenet

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

u-mae

Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders

u2pl

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

videomae_pdebench_finetuning

Finetuning of VideoMAE on PDEBench (forked from https://github.com/MCG-NJU/VideoMAE)