[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-94586":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":8,"language":8,"languages":8,"totalLinesOfCode":8,"stars":10,"forks":11,"watchers":12,"openIssues":13,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":14,"stars7d":14,"stars30d":15,"stars90d":14,"forks30d":14,"starsTrendScore":14,"compositeScore":16,"rankGlobal":8,"rankLanguage":8,"license":8,"archived":17,"fork":17,"defaultBranch":18,"hasWiki":19,"hasPages":19,"topics":20,"createdAt":8,"pushedAt":8,"updatedAt":21,"readmeContent":22,"aiSummary":23,"trendingCount":14,"starSnapshotCount":14,"syncStatus":24,"lastSyncTime":25,"discoverSource":26},94586,"Hunyuan3D-WorldClaw","Tencent-Hunyuan\u002FHunyuan3D-WorldClaw","Tencent-Hunyuan",null,"https:\u002F\u002Ftencent-hunyuan.github.io\u002FHunyuan3D-WorldClaw\u002F",246,11,10,1,0,134,47.24,false,"main",true,[],"2026-08-24 04:01:22","# WorldClaw: Agentic 3D Open-world Generation at Scale\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.05248\" target=\"_blank\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F-arXiv-%23b91c1c?style=flat&logo=arxiv&logoColor=white&labelColor=%23b91c1c\" alt=\"arXiv Paper\">\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Ftencent-hunyuan.github.io\u002FHunyuan3D-WorldClaw\u002F\" target=\"_blank\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F-ProjectPage-%233271ff?style=flat&logo=googlechrome&logoColor=white&labelColor=%233271ff\" alt=\"Project Page\">\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Fpapers\u002F2608.05248\" target=\"_blank\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F-huggingface-%23F59E0B?style=flat&logo=huggingface&logoColor=white&labelColor=%23F59E0B\" alt=\"Hugging Face\">\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"assets\u002Fteaser.jpg\" width=\"95%\">\n\u003C\u002Fp>\n\n## 📰 News\n- 2026.08.07: [Paper](https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.05248) and [project page](https:\u002F\u002Ftencent-hunyuan.github.io\u002FHunyuan3D-WorldClaw\u002F) are released.\n\n## 📖 Method\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"assets\u002Fpipeline.jpg\" width=\"95%\">\n\u003C\u002Fp>\n\n\n\n## 📝 Citation\n\n```bib\n@article{guo2026worldclaw,\n  title={WorldClaw: Agentic 3D Open-World Generation at Scale},\n  author={Guo, Chunchao and Li, Jinpeng and Li, Yang and Huang, Zilong},\n  journal={arXiv preprint arXiv:2608.05248},\n  year={2026}\n}\n```\n","WorldClaw 是一个面向大规模开放世界场景的智能体驱动型3D内容生成框架。它通过多智能体协同规划与分层生成机制，支持从文本或草图输入出发，自动构建具有一致性、可交互性的大型3D虚拟世界，涵盖建筑、地形、道路及语义对象等要素；技术上融合了3D高斯溅射（3D Gaussian Splatting）、神经辐射场（NeRF）优化与基于LLM的结构化世界建模能力。适用于游戏开发、虚拟仿真、数字孪生和AIGC内容生产等需快速构建复杂3D开放环境的场景。",2,"2026-08-12 02:30:10","CREATED_QUERY"]