QifHE / 3D-Point-Cloud-Rendering-with-MitsubaLinks
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.
☆13Updated 3 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
Sorting:
- ☆10Updated 4 years ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆411Updated 6 years ago
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆195Updated last year
- ☆49Updated last year
- ☆59Updated 2 years ago
- [TVCG 2024] CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion☆24Updated last year
- Codes for Point Cloud Completion via Skeleton-Detail Transformer☆26Updated 2 years ago
- ☆25Updated last year
- Octree-based 3D Convolutional Neural Networks [SIGGRAPH 2017]☆232Updated last week
- This repository contains PyTorch implementation for Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Comple…☆22Updated 2 years ago
- Chamfer Distance in Pytorch with f-score☆374Updated 4 years ago
- The official repository of the paper "Hyperbolic Chamfer Distance for Point Cloud Completion" published at ICCV 2023☆24Updated 2 years ago
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)☆43Updated 2 years ago
- PyTorch implementation for View-Guided Point Cloud Completion☆57Updated 3 years ago
- SPU-Net: Self-supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization☆12Updated 2 years ago
- ☆97Updated 3 years ago
- [ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"☆166Updated 3 years ago
- Implementation of the Chamfer Distance as a module for pyTorch☆302Updated 2 years ago
- Learnable Skeleton-Aware 3D Point Cloud Sampling☆25Updated 2 years ago
- A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.☆159Updated 6 years ago
- Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces☆78Updated last year
- Building-PCC: Building Point Cloud Completion Benchmarks☆35Updated 4 months ago
- Learning Local Displacements for Point Cloud Completion - CVPR 2022☆44Updated 3 years ago
- PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018☆92Updated last year
- OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]☆343Updated last month
- [AAAI24] Orthogonal Dictionary Guided Shape Completion Network for Point Cloud☆27Updated last year
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆130Updated 9 months ago
- rendering (optionally temporal) point clouds using Mitsuba2☆167Updated last year
- A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion☆184Updated last year
- [ICCV 2023 & IJCV 2025] SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator☆79Updated 2 months ago