QifHE / 3D-Point-Cloud-Rendering-with-Mitsuba
This repository provides a tool that automatically renders all of your selected point cloud files into visually stunning images by using Mitsuba 2. You can simply input one-line command, and then the code will generate all images, before concatenating them into a single image which will be suitable to be put in your academic papers.
☆12Updated 2 years ago
Alternatives and similar repositories for 3D-Point-Cloud-Rendering-with-Mitsuba:
Users that are interested in 3D-Point-Cloud-Rendering-with-Mitsuba are comparing it to the libraries listed below
- ☆10Updated 3 years ago
- ☆39Updated 11 months ago
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆166Updated 8 months ago
- PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018☆89Updated last year
- A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.☆155Updated 5 years ago
- ☆53Updated last year
- Point-set Distances for Learning Representations of 3D Point Clouds (ICCV 2021)☆11Updated 4 months ago
- Learning Local Displacements for Point Cloud Completion - CVPR 2022☆41Updated 2 years ago
- Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"☆104Updated last year
- [TVCG 2024] CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion☆16Updated 4 months ago
- Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces☆73Updated last year
- ☆80Updated 2 years ago
- SPU-Net: Self-supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization☆11Updated 2 years ago
- This repository catalogs the papers I referenced while completing a project on point cloud completion using diffusion.☆14Updated 8 months ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆78Updated last year
- ☆21Updated 10 months ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆361Updated 5 years ago
- Neural Unsigned Distance Fields (NDF) - Codebase☆198Updated 2 years ago
- ☆30Updated 3 years ago
- Official implementation of the paper "ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion" (CVPR 2023)☆36Updated last year
- Deep Point Set Resampling via Gradient Fields (T-PAMI)☆10Updated 2 years ago
- PyTorch implementation for View-Guided Point Cloud Completion☆51Updated 3 years ago
- Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)☆54Updated 2 years ago
- ☆34Updated 3 years ago
- rendering (optionally temporal) point clouds using Mitsuba2☆157Updated last year
- This repo is a PyTorch implementation for Paper "Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clo…☆72Updated 3 years ago
- [ICCV 2023] GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation☆102Updated 5 months ago
- PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows (TVCG 2022)☆7Updated 2 years ago
- [CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion☆138Updated 3 years ago
- Octree-based 3D Convolutional Neural Networks☆182Updated 2 months ago