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Papers and Datasets about Point Cloud.
Patch-base progressive 3D Point Set Upsampling
pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<
A StyleGAN2 Implementation to generate Anime Characters
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"
Pytorch package to compute Chamfer distance between point sets (pointclouds).
deep learning for image processing including classification and object-detection etc.
Deep Point Set Resampling via Gradient Fields (T-PAMI)
Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021
Unofficial Pytorch Implement Dis-PU
Pytorch implementation of "Point Cloud Upsampling via Disentangled Refinement"
EC-Net: an Edge-aware Point set Consolidation Network, ECCV, 2018
FastONN - Python based open-source GPU implementation for Operational Neural Networks
This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".
This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).
Computes Hausdorff distance between given two point clouds
How do I render point clouds?
pytorch knn [cuda version]
Robust Adversarial Objects against Deep Learning Models
本人的科研经验
some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!
Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud (TVCG 2021)
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Code release for NeRF (Neural Radiance Fields)
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
【Code of CVPR 2022 paper】Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
Several simple examples for popular neural network toolkits calling custom CUDA operators.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.