ZhanHeshen / PointCMTLinks
[NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
☆73Updated 2 years ago
Alternatives and similar repositories for PointCMT
Users that are interested in PointCMT are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆131Updated 2 years ago
- https://arxiv.org/abs/2104.02246 One Thing One Click (CVPR 2021) https://arxiv.org/abs/2303.14727 One Thing One Click++ (Arxiv)☆58Updated 2 years ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆109Updated 2 years ago
- Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".☆56Updated 2 years ago
- [CVPR 2022] SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation☆47Updated 3 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆137Updated 10 months ago
- Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks☆110Updated 2 years ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆105Updated 2 years ago
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆163Updated 10 months ago
- Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"☆238Updated 3 years ago
- Official implementation of Image2Point.☆126Updated 2 years ago
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆95Updated 3 years ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆44Updated last year
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 3 years ago
- ☆26Updated 2 years ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆12Updated last year
- [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation☆183Updated 2 years ago
- Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)☆79Updated 3 years ago
- 🔥GrowSP in PyTorch (CVPR 2023)☆189Updated 2 months ago
- Hierarchical Aggregation for 3D Instance Segmentation (ICCV 2021)☆172Updated 3 years ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆258Updated 2 years ago
- ☆125Updated last year
- ☆162Updated 2 years ago
- ☆41Updated 11 months ago
- The source code of PRA-Net.☆27Updated 4 years ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated last year
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆210Updated 2 years ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆31Updated last year
- [CVPR 2021 Oral]Bidirectional Projection Network for Cross Dimension Scene Understanding☆176Updated 4 years ago