liruihui / Dis-PULinks
Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021
☆72Updated 3 years ago
Alternatives and similar repositories for Dis-PU
Users that are interested in Dis-PU are comparing it to the libraries listed below
Sorting:
- [CVPR 2021 Oral] Variational Relational Point Completion Network☆163Updated 3 years ago
- Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)☆83Updated 2 years ago
- ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks☆94Updated 2 years ago
- [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks☆180Updated 2 years ago
- ☆55Updated last year
- Code for the ECCV 2020 paper: Detail Preserved Point Cloud Completion via Separated Feature Aggregation☆61Updated 2 years ago
- ☆27Updated 3 years ago
- ☆60Updated 4 years ago
- Unpaired Point Cloud Completion on Real Scans using Adversarial Training☆92Updated 4 years ago
- Learning Local Displacements for Point Cloud Completion - CVPR 2022☆42Updated 3 years ago
- ECG: Edge-aware Point Cloud Completion with Graph Convolution☆30Updated 4 years ago
- MVP Benchmark for Multi-View Partial Point Cloud Completion and Registration☆123Updated 3 years ago
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆175Updated 10 months ago
- Cascaded Refinement Network for Point Cloud Completion (CVPR 2020)☆24Updated 3 years ago
- [CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion☆141Updated 4 years ago
- Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning☆74Updated last year
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)☆40Updated last year
- How do I render point clouds?☆30Updated 5 years ago
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆101Updated 2 years ago
- Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)☆126Updated 3 years ago
- This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".☆13Updated 3 years ago
- pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<☆77Updated 5 years ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆80Updated 2 years ago
- [ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"☆153Updated 3 years ago
- ☆84Updated 2 years ago
- Code Release for ICCV 2021 (oral), "AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds"☆49Updated 3 years ago
- Implementation of ICCV2021(Oral) paper - VMNet: Voxel-Mesh Network for Geodesic-aware 3D Semantic Segmentation☆101Updated 2 years ago
- Geometry Sharing Network for 3D Point Cloud Classification and Segmentation☆51Updated 5 years ago
- SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral☆77Updated 3 years ago
- A paper list of 3D Point Cloud Denoising☆127Updated 2 years ago