lizhuangzi / SPULinks
Code of Semantic Point Cloud Upsampling (SPU) published on IEEE Transactions on Multimedia.
☆22Updated 3 years ago
Alternatives and similar repositories for SPU
Users that are interested in SPU are comparing it to the libraries listed below
Sorting:
- Codes for Point Cloud Completion via Skeleton-Detail Transformer☆26Updated 2 years ago
- Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression☆112Updated last year
- (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.☆32Updated last year
- Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud (TVCG 2021)☆34Updated 4 years ago
- ☆44Updated last year
- Rewriting the PU-GCN paper in pytorch and enhancing it☆21Updated 2 years ago
- PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018☆93Updated last year
- ☆58Updated 2 years ago
- This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).☆74Updated 2 years ago
- Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)☆86Updated 2 years ago
- ☆10Updated 2 years ago
- [CVPR 2022] LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints☆39Updated 3 years ago
- Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"☆135Updated last year
- [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks☆194Updated 2 years ago
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)☆43Updated 2 years ago
- [CVPR 2021 Oral] Variational Relational Point Completion Network☆170Updated 3 years ago
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆196Updated last year
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆130Updated 9 months ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆89Updated 2 years ago
- ☆97Updated 3 years ago
- Adaptive Graph Convolution for Point Cloud Analysis☆124Updated 4 years ago
- PyTorch implementation for View-Guided Point Cloud Completion☆57Updated 3 years ago
- ☆33Updated 4 years ago
- Official implementation of the paper "ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion" (CVPR 2023)☆39Updated 2 years ago
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers☆60Updated last year
- Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling (TPAMI 2023)☆15Updated 2 years ago
- ☆14Updated 3 years ago
- Official repo for 'MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment' IJCAI2023☆31Updated 2 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆307Updated 2 years ago
- PU-GACNet☆14Updated 3 years ago