qdushl / Waterloo-Point-Cloud-DatabaseLinks
☆13Updated 3 years ago
Alternatives and similar repositories for Waterloo-Point-Cloud-Database
Users that are interested in Waterloo-Point-Cloud-Database are comparing it to the libraries listed below
Sorting:
- Official repo for 'MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment' IJCAI2023☆29Updated last year
- Collections of papers, databases, and codes targeted at point cloud quality assessment (PCQA), mesh quality assessment (MQA), 3D model qu…☆110Updated last week
- Point cloud version for "No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh models".☆31Updated 2 years ago
- Point Cloud Geometry Compression☆42Updated 2 years ago
- [ECCV2022] Point Cloud Compression with Sibling Context and Surface Priors☆29Updated 3 years ago
- Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry"☆36Updated 4 years ago
- Rewriting the PU-GCN paper in pytorch and enhancing it☆21Updated last year
- ☆21Updated 4 years ago
- Code for paper "No-reference Point Cloud Quality Assessment via Domain Adaptation", CVPR2022☆11Updated 3 years ago
- A deep perceptual metric for 3D point clouds☆14Updated 4 years ago
- [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks☆185Updated 2 years ago
- Multiscale Point Cloud Geometry Compression☆109Updated last year
- ☆48Updated 2 years ago
- (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.☆32Updated last year
- Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)☆86Updated 2 years ago
- ☆18Updated last year
- [official] DCC 2024: Lightweight super resolution network for point cloud geometry compression☆21Updated 3 months ago
- ☆14Updated 4 years ago
- Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression☆110Updated 9 months ago
- Improved Deep Point Cloud Geometry Compression☆75Updated 4 years ago
- the Pytorch implementation for our ICMR 2022 paper "TransPCC: Towards Deep Point Cloud Compression via Transformers"☆13Updated 3 years ago
- Learning Convolutional Transforms for Point Cloud Geometry Compression☆48Updated 5 years ago
- pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<☆78Updated 5 years ago
- [CVPR 2021 Oral] Variational Relational Point Completion Network☆168Updated 3 years ago
- ☆43Updated 8 months ago
- [MMSP 2023, PCS 2024]☆19Updated last year
- Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds.☆19Updated 4 years ago
- Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression☆93Updated 8 months ago
- This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).☆70Updated 2 years ago
- code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"☆109Updated 2 years ago