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3d-pointcloud

Papers and Datasets about Point Cloud.

3dvision

3pu

Patch-base progressive 3D Point Set Upsampling

3pu_pytorch

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

animegan

A StyleGAN2 Implementation to generate Anime Characters

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

apusmog

Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"

chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-rs

Deep Point Set Resampling via Gradient Fields (T-PAMI)

dis-pu

Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021

dis-pu-1

Unofficial Pytorch Implement Dis-PU

dis-pu-pytorch

Pytorch implementation of "Point Cloud Upsampling via Disentangled Refinement"

ec-net

EC-Net: an Edge-aware Point set Consolidation Network, ECCV, 2018

fastonn

FastONN - Python based open-source GPU implementation for Operational Neural Networks

flexible-pu

This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".

grad-pu

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).

hausdorffforpointclouds

Computes Hausdorff distance between given two point clouds

how-do-i-render-point-clouds

How do I render point clouds?

kangya998.github.io

knn_cuda

pytorch knn [cuda version]

knn_smooth

Robust Adversarial Objects against Deep Learning Models

learning_research

本人的科研经验

mesh_segmentation

some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!

meta-pu

Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud (TVCG 2021)

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

nerf

Code release for NeRF (Neural Radiance Fields)

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

neuralpoints

【Code of CVPR 2022 paper】Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling

nn-cuda-example

Several simple examples for popular neural network toolkits calling custom CUDA operators.