lisj575 / APU-LDI
Code Release for AAAI 2024, "Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling"
☆28Updated 10 months ago
Alternatives and similar repositories for APU-LDI:
Users that are interested in APU-LDI are comparing it to the libraries listed below
- Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation (ICCV 2023)☆27Updated last year
- This repository contains PyTorch implementation for Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Comple…☆19Updated last year
- SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds☆20Updated last month
- [TVCG 2024] CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion☆16Updated last month
- [ICRA'2024]: 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds☆31Updated 9 months ago
- Building-PCC: Building Point Cloud Completion Benchmarks☆17Updated 6 months ago
- [ICCV 2023] GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation☆99Updated 3 months ago
- PathNet: Path-selective Point Cloud Denoising☆26Updated 8 months ago
- ☆23Updated last year
- ☆26Updated 11 months ago
- [ICCV'2023]: Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection☆47Updated last year
- ☆36Updated 9 months ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆74Updated last year
- PyTorch implementation for View-Guided Point Cloud Completion☆50Updated 2 years ago
- Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"☆14Updated 2 years ago
- CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm☆12Updated last year
- SPU-Net: Self-supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization☆11Updated last year
- Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces☆74Updated 11 months ago
- The official repository of the paper "Hyperbolic Chamfer Distance for Point Cloud Completion" published at ICCV 2023☆21Updated last year
- [CVPR‘23] Hyperspherical Embedding for Point Cloud Completion☆20Updated last year
- ☆49Updated 2 months ago
- Learnable Skeleton-Aware 3D Point Cloud Sampling☆19Updated last year
- ☆49Updated 4 months ago
- Code Release for AAAI 2023, "NeAF: Learning Neural Angle Fields for Point Normal Estimation"☆35Updated 9 months ago
- Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection (AAAI 2024)☆12Updated last year
- ☆16Updated 9 months ago
- Point Cloud Upsampling with Kernel Point Representation and Deformation☆25Updated 6 months ago
- [ECCV'2024] Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors☆29Updated 4 months ago
- ACM MM 2022☆30Updated 2 years ago
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)☆38Updated last year