hehefan / PST-TransformerLinks
☆23Updated 3 years ago
Alternatives and similar repositories for PST-Transformer
Users that are interested in PST-Transformer are comparing it to the libraries listed below
Sorting:
- Implementation of the "Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos" paper.☆191Updated 3 years ago
- Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)☆30Updated 2 years ago
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆103Updated 3 months ago
- ☆147Updated 3 years ago
- ☆26Updated last year
- Implementation of the "PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences" paper.☆109Updated 2 years ago
- ☆20Updated 4 years ago
- ☆42Updated last year
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆44Updated last year
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆114Updated 7 months ago
- Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)☆80Updated 3 years ago
- ☆17Updated last year
- ☆98Updated 3 years ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆260Updated 2 years ago
- [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis☆189Updated 8 months ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- [CVPR 2022] No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces☆22Updated last year
- PVT: Point-Voxel Transformer for 3D Deep Learning☆95Updated 3 years ago
- Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)☆70Updated 10 months ago
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆128Updated 7 months ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆106Updated 2 years ago
- [CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion☆143Updated 4 years ago
- A point cloud visualization repo☆90Updated last month
- A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion☆179Updated last year
- PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018☆93Updated last year
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆163Updated 11 months ago
- Adaptive Graph Convolution for Point Cloud Analysis☆123Updated 4 years ago
- Self-supervised method for completing partial LiDAR point clouds. Trained and tested on ShapeNet and SemanticKITTI in TensorFlow. (BMVC 2…☆15Updated 3 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆347Updated 4 years ago
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆192Updated last year