Haoran Gong's starred repositories

polygen

Pytorch Implementation of Polygen

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point2building

The implementation of our paper "Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds"

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CityDreamer

The official implementation of "CityDreamer: Compositional Generative Model of Unbounded 3D Cities". (Xie et al., CVPR 2024)

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SLIDE

Controllable Point Cloud and Mesh Generation

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RoofDiffusion

[ECCV 2024] RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion

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CV

✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

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MeshAnything

From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

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Easy3D

A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data

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points2surf

Learning Implicit Surfaces from Point Clouds (ECCV 2020)

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LOD2BuildingModel

SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto

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City3D

Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds

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Paper-Writing-Tips

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

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CV-Company-List

**提供计算机视觉(CV)算法岗位的公司名单,欢迎大家提交issues进行补充

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Deep-Learning-Interview-Book

深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

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points2poly

Reconstructing compact building models from point clouds using deep implicit fields [ISPRS 2022]

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polygnn

PolyGNN: Polyhedron-based graph neural network for 3D building reconstruction from point clouds

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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PyTorch-Tutorial-2nd

《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。

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ArXivQA

WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)

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annotated-transformer

An annotated implementation of the Transformer paper.

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Mask3D

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

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PointCloud_Tutorial

This is a fundamental manual for getting started with Point Cloud, covering basic knowledge of point cloud, point cloud file format, CloudCompare and MeshLab software instructions, PCL library algorithm introduction and other algorithms supplementary.

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awesome-point-cloud-analysis-2023

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

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CloserLook3D

A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)

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Pointnet2_PyTorch

PyTorch implementation of Pointnet2/Pointnet++

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