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jcadcg-reproducibility

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在为《计算机辅助设计与图形学学报》(Journal of Computer-Aided Design & Computer Graphics, JCAD&CG) 提升论文可复现性与实验可重复时调用。覆盖图形学/CAD 特有的可复现要点：固定随机种子、记录 GPU/驱动/渲染器版本、锁定网格/点云/纹理/视频数据集、固定渲染与几何管线参数(采样数、光照、相机、分辨率)、复现包冒烟测试、几何误差与渲染质量指标的计算脚本对齐、以及大数据的稳定托管。适用于让外审与读者能重跑出论文表图、避免"结果无法复现"质疑的场景。

Journal-of-CAD-and-Computer-Graphics-Skills/skills/jcadcg-reproducibility/SKILL.md

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# 《计算机辅助设计与图形学学报》可复现性与实验可重复

本技能帮助为《计算机辅助设计与图形学学报》(Journal of Computer-Aided Design & Computer
Graphics, JCAD&CG) 提升可复现性。本刊是 CCF A 类图形学/CAD 方向中文月刊，图形与几何结果对
环境、随机性与渲染管线高度敏感，"换台机器就复现不出"是常见风险。本技能把可复现动作沉淀为
清单，衔接 `resources/code/README.md`。核验见 `resources/official-source-map.md`
（2026-07-09）。本刊是否有**强制**代码/数据可用性要求属 **待核实**，本技能给出无论政策
如何都应做到的自律标准。

## 一、图形学可复现的特殊性

图形/几何结果的可复现比一般机器学习更"脆"，需额外固定：
- **随机种子**：采样、初始化、数据增强的随机源。
- **硬件与驱动**：GPU 型号、驱动、CUDA/图形 API 版本（浮点与光栅化差异会影响像素级指标）。
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