A point cloud visualization repo
☆97Oct 15, 2025Updated 10 months ago
Alternatives and similar repositories for PointVisualizaiton
Users that are interested in PointVisualizaiton are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆104Jul 1, 2024Updated 2 years ago
- [NeurIPS 2024 Spotlight (Top 2.5%🏆)] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆53Sep 1, 2025Updated 11 months ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆154Jul 21, 2024Updated 2 years ago
- ☆45Nov 1, 2024Updated last year
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆40Dec 26, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"☆35Apr 21, 2024Updated 2 years ago
- ☆20Sep 27, 2024Updated last year
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆95Aug 28, 2022Updated 3 years ago
- Official implementation of paper "GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model", ICML 2025☆17Dec 25, 2025Updated 7 months ago
- [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders☆230Aug 10, 2023Updated 3 years ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆246Jul 1, 2024Updated 2 years ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆638Mar 31, 2025Updated last year
- The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).☆111Dec 19, 2023Updated 2 years ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆74Mar 18, 2026Updated 4 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICCV 2025] Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupl…☆25Jan 2, 2026Updated 7 months ago
- [ECCV 2024] ShapeLLM: Universal 3D Object Understanding for Embodied Interaction☆240Oct 8, 2024Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆58May 19, 2024Updated 2 years ago
- ☆75Mar 23, 2026Updated 4 months ago
- [NeurIPS 2024] Official implementation of the paper "Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Clou…☆17Mar 13, 2026Updated 5 months ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆436Nov 10, 2019Updated 6 years ago
- [CVPR 2025] MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning☆21Sep 20, 2025Updated 10 months ago
- Code for ACM MM 2023 paper - Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning☆14Jan 19, 2024Updated 2 years ago
- [NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training☆228May 4, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds☆102Jan 26, 2026Updated 6 months ago
- ☆13Apr 25, 2024Updated 2 years ago
- [ECCV 2024] Offical implementation of ECCV'24 paper DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction☆32Oct 22, 2024Updated last year
- The code for the paper "LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling" (NeurIPS'24).☆15Dec 25, 2024Updated last year
- [AAAI 2023 Oral] Language-Assisted 3D Feature Learning for Semantic Scene Understanding☆12Aug 1, 2023Updated 3 years ago
- The official implementation of "PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning" (CVPR 2025)☆29Oct 31, 2025Updated 9 months ago
- [ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI☆679Jan 12, 2026Updated 7 months ago
- [CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis☆173Oct 11, 2024Updated last year
- ☆611Jun 2, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆266Apr 27, 2023Updated 3 years ago
- This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Tra…☆27Jul 19, 2024Updated 2 years ago
- Using Kolmogorov Arnold Networks (KANs) instead of MLPs in PointNet for Classification and Segmentation of 3D Point Sets☆15Apr 23, 2026Updated 3 months ago
- [MM‘25] GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting☆21Aug 2, 2026Updated last week
- ☆23Apr 24, 2025Updated last year
- [ECCV2024] Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding☆127Jul 2, 2024Updated 2 years ago
- The offical implemention of JM3D.☆31Apr 8, 2026Updated 4 months ago