JCAD&CG Experiment Design & Evidence
Designs rigorous experimental evaluations, visual comparisons, and benchmark metrics tailored for the Journal of Computer-Aided Design & Computer Graphics.
JCAD&CG Experiment Design helps researchers construct submission-ready experimental evidence specifically formatted for the Journal of Computer-Aided Design & Computer Graphics (《计算机辅助设计与图形学学报》). The skill enforces research question (RQ) alignment, provides domain-specific metric standards across CAD, geometry processing, rendering, and visualization, and ensures fair baseline benchmarking under equal compute budgets. It also guides the presentation of visual evidence such as error colormaps, ablation figures, runtime/VRAM overhead analysis, and user study protocols to withstand peer review scrutiny.