lyqun / PU-Net_pytorchLinks
PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018
☆93Updated last year
Alternatives and similar repositories for PU-Net_pytorch
Users that are interested in PU-Net_pytorch are comparing it to the libraries listed below
Sorting:
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆191Updated last year
- Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"☆132Updated last year
- ☆98Updated 3 years ago
- [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis☆189Updated 8 months ago
- Score-Based Point Cloud Denoising (ICCV 2021)☆202Updated 3 years ago
- [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks☆190Updated 2 years ago
- ☆59Updated 2 years ago
- [CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion☆143Updated 4 years ago
- [CVPR 2021 Oral] Variational Relational Point Completion Network☆171Updated 3 years ago
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆127Updated 7 months ago
- Implementation of PCN(Point Completion Network) in PyTorch.☆197Updated 2 years ago
- Adaptive Graph Convolution for Point Cloud Analysis☆123Updated 4 years ago
- Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)☆86Updated 2 years ago
- Learning Local Displacements for Point Cloud Completion - CVPR 2022☆44Updated 3 years ago
- Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)☆70Updated 10 months ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆85Updated 2 years ago
- A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion☆178Updated last year
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)☆43Updated last year
- PyTorch implementation for View-Guided Point Cloud Completion☆55Updated 3 years ago
- This is the implementation for FoldingNet——an autoencoder for point cloud in PyTorch.☆59Updated 2 years ago
- Codes for Point Cloud Completion via Skeleton-Detail Transformer☆26Updated 2 years ago
- ☆34Updated 4 years ago
- Implementation of The paper SA_Net for point cloud completion☆33Updated 5 years ago
- PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows (ECCV 2022)☆27Updated 3 years ago
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers☆57Updated last year
- Experiments on unsupervised point cloud reconstruction.☆172Updated 3 years ago
- The official implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (ECCV 2020)☆335Updated 3 months ago
- The codes for ACM MM 2021 paper 'ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion'☆18Updated 3 years ago
- Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud (TVCG 2021)☆34Updated 4 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆306Updated last year