ajhamdi / vointcloudLinks
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
☆21Updated 2 years ago
Alternatives and similar repositories for vointcloud
Users that are interested in vointcloud are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated last year
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆148Updated last year
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆34Updated last year
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆131Updated 2 years ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆57Updated last year
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆127Updated last year
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆72Updated last year
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆44Updated last year
- a Pytorch library for multi-view 3D understanding and generation☆83Updated last month
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆95Updated 3 years ago
- ☆27Updated last year
- Learning with Noisy Labels for Robust Point Cloud Segmentation (ICCV2021 Oral)☆67Updated 3 years ago
- ☆44Updated last year
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆12Updated 2 years ago
- ☆21Updated last year
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 3 years ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆37Updated 2 years ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆112Updated 2 years ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated last year
- [ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377☆62Updated last year
- Point Could Mamba: Point Cloud Learning via State Space Model☆74Updated 11 months ago
- [ICCV2025] All in One: Visual-Description-Guided Unified Point Cloud Segmentation☆25Updated 4 months ago
- [Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zh…☆63Updated 2 years ago
- ☆49Updated 2 years ago
- X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)☆35Updated last year
- Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".☆56Updated 2 years ago
- [ICRA'2024]: 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds☆38Updated last year
- ☆12Updated last year