X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
User-friendly, commercial-grade software for processing aerial imagery. ✈️ Download it for free!
Pytorch framework for doing deep learning on point clouds.
Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
WebGL 3D plotting for Jupyter: meshes, isosurfaces, volumes, voxels and point clouds from NumPy arrays, with a path-traced cinematic renderer.
用代码生成 15 秒动态图形成片 · Agent Skill。交付 1920×1080 / 30fps。自研渲染引擎:2× 超采样矢量/文字 + 真 3D 点云 + 丝网印四色分色 + 代码合成配乐,不用任何外部美术素材、不用 AE。15 张风格牌,已做过暗色科技 / riso 印刷 / 纸艺 / 银盐暗房 / 恒星普朗克配色 / 氰版蓝图 / 紫外光刻,成片见 docs/films/
A real-robot ROS 2 navigation workspace for the Unitree Go2W, integrating FAST-LIO, point-cloud localization, and Nav
Runnable Python behind my 3D data science tutorials. Point clouds, LiDAR, Gaussian splatting, meshing and spatial AI.
[ECCV 2026] ReconSplat: Generalizable 3D Scene Reconstruction Beyond Observed Views