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ai-gaoqian

3D视觉研究助手

by ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install 3d-vision-research
Description
面向3D计算机视觉研究者的学术辅助技能,覆盖NeRF、3DGS、三维重建、点云处理等方向的最新论文检索、实验设计建议、代码复现指导
README (SKILL.md)

3D视觉研究助手

使用方式

用户提出3D视觉/图形学相关的研究问题,包括论文检索、方法对比、代码复现、数据集推荐等。

执行流程

  1. 解析用户的研究方向(NeRF/3DGS/点云/网格/隐式表示等)
  2. 联网检索最新arXiv论文和会议论文
  3. 对比不同方法的性能指标和适用场景
  4. 提供代码仓库链接和复现注意事项
  5. 推荐合适的数据集和评估基准

输出格式

  • 论文列表:标题、作者、发表时间、核心贡献、代码链接
  • 方法对比表:PSNR/SSIM/LPIPS等指标横向对比
  • 复现建议:环境配置、训练参数、常见坑点

注意事项

  • 优先检索NeurIPS/CVPR/ICCV/ECCV/SIGGRAPH等顶会论文
  • 注明论文的arXiv版本和正式出版版本的差异
  • 对3DGS相关方法注明实时渲染性能
Usage Guidance
This appears safe to install for 3D vision research assistance. Because it may search the web and help with Python-based reproduction steps, only run commands or third-party repositories that you have reviewed and trust.
Capability Assessment
Purpose & Capability
The stated purpose is academic assistance for NeRF, 3D Gaussian Splatting, reconstruction, point clouds, papers, datasets, and reproduction guidance; the requested web_search and python_executor capabilities fit that purpose.
Instruction Scope
Runtime instructions are limited to parsing the user's research topic, searching papers, comparing methods, providing repository links, and giving reproduction notes; there are no prompt overrides, credential requests, hidden tasks, or unrelated actions.
Install Mechanism
The artifact contains a single non-executable SKILL.md file with standard frontmatter and no install scripts, package hooks, bundled binaries, or generated persistence mechanism.
Credentials
The skill asks for web search and Python execution, which are proportionate for research lookup and experiment guidance, but users should still review external code repositories before running reproduction commands.
Persistence & Privilege
No persistence, background workers, privilege escalation, account mutation, local indexing, credential handling, or sensitive data access is described or present in the artifact.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install 3d-vision-research
  3. After installation, invoke the skill by name or use /3d-vision-research
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial-release-3D-computer-vision-research-assistant
Metadata
Slug 3d-vision-research
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 3D视觉研究助手?

面向3D计算机视觉研究者的学术辅助技能,覆盖NeRF、3DGS、三维重建、点云处理等方向的最新论文检索、实验设计建议、代码复现指导. It is an AI Agent Skill for Claude Code / OpenClaw, with 28 downloads so far.

How do I install 3D视觉研究助手?

Run "/install 3d-vision-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 3D视觉研究助手 free?

Yes, 3D视觉研究助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 3D视觉研究助手 support?

3D视觉研究助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 3D视觉研究助手?

It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.

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