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A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
OpenMMLab Detection Toolbox and Benchmark
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A simple, fully convolutional model for real-time instance segmentation.
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
The Open-Source Data Annotation Platform
SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images
Creates Pointcloud, Mesh(.ply, .obj) from DSM(Depth) Images
SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto
Official code for "Learning to Extract Building Footprints from Off-Nadir Aerial Images"
Adapted COLMAP intended to work with satellite images
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
This is a collective repository for all 3DGS related progresses in research and industry world
Kitware's system for 3D building reconstruction for the IARPA CORE3D program
Import a point cloud file and perform poisson 3D surface reconstruction algorithm, integrated with third-party libraries (e.g. open3d, pymeshlab...)
A library for solving the satellite structure from motion problem
[CVPR'24] Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Implementation of Sat-NeRF, a new NeRF architecture applied to satellite imagery for surface reconstruction
The official implementation of "CityDreamer: Compositional Generative Model of Unbounded 3D Cities". (Xie et al., CVPR 2024)
A first Fine-grained 3D Building Model of China on a National Scale from Very High Resolution Satellite Imagery