rsy6318 / PUGeoNet_pytorch
☆11Updated 9 months ago
Alternatives and similar repositories for PUGeoNet_pytorch:
Users that are interested in PUGeoNet_pytorch are comparing it to the libraries listed below
- An implementation of 3D Deep Learning and Traditional Computer Vision techniques to accurately upsample point clouds while being edge awa…☆13Updated last year
- SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds☆21Updated 3 months ago
- ☆50Updated last year
- Point Cloud Upsampling with Kernel Point Representation and Deformation☆27Updated 8 months ago
- The codes for ACM MM 2021 paper 'ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion'☆16Updated 2 years ago
- ☆27Updated 2 years ago
- PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows (ECCV 2022)☆24Updated 2 years ago
- ECG: Edge-aware Point Cloud Completion with Graph Convolution☆30Updated 3 years ago
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer, implemented in Jittor☆20Updated last year
- CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm☆12Updated last year
- HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces☆35Updated last year
- PyTorch implementation for View-Guided Point Cloud Completion☆52Updated 3 years ago
- Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation (ICCV 2023)☆28Updated last year
- Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling☆59Updated 3 years ago
- PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)☆41Updated 3 years ago
- [AAAI 2022] FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration, Pytorch implementation.☆29Updated 10 months ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆77Updated last year
- RePCD-Net☆21Updated last year
- [TVCG 2023] PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering☆12Updated last year
- Code Release for ICCV 2021 (oral), "AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds"☆49Updated 3 years ago
- ☆37Updated 2 months ago
- Official code implementation for the paper "IterativePFN: True Iterative Point Cloud Filtering" (published in CVPR 2023).☆53Updated last year
- SPU-Net: Self-supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization☆11Updated last year
- Codes for Point Cloud Completion via Skeleton-Detail Transformer☆26Updated last year
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)☆38Updated last year
- ☆34Updated 3 years ago
- Superpoint Network for Point Cloud Oversegmentation☆28Updated 3 years ago
- This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".☆13Updated 3 years ago
- Pyramid Point Cloud Transformer for Large-Scale Place Recognition☆50Updated 3 years ago
- the code of "Multi-Feature Guidance network for Partial-to-Partial Point Cloud Registration"☆11Updated 3 years ago