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Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

Full-stack .Net 10 Clean Architecture (Microservices, Modular Monolith, Monolith), Blazor, Angular 22, React 19, Vue 3.5, BFF with YARP, NextJs 16, Domain-Driven Design, CQRS, SOLID, Asp.Net Core Identity Custom Storage, OpenID Connect, EF Core, OpenTelemetry, SignalR, Background Services, Health Checks, Rate Limiting, Clouds (Azure, AWS, GCP), ...

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Zenko CloudServer, an open-source Node.js implementation of the Amazon S3 protocol on the front-end and backend storage capabilities to multiple clouds, including Azure and Google.

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

  • catkin
  • velodyne-sensor
  • segmentation
  • clustering

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

  • 3d-object-detection
  • lidar-point-cloud
  • bevmap
  • center

Image-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser 图像驱动的三维场景生成系统

  • 3d
  • gaussian-filter
  • gaussian-splatting

Real-time WebGPU ocean renderer written from scratch, no engine. FFT waves, whitecaps, sun glitter, physically based sunset sky with clouds, free camera. Built with Claude Code (Opus 5.5). Opens from a single 61 KB HTML file in Chrome.

Polygonal Surface Reconstruction from Point Clouds (C++ & Python)

  • surface-reconstruction
  • urban-modeling
  • urban-reconstruction
  • primitive-extraction