3dgs-experiment-planner
This skill streamlines experimental design for 3D Gaussian Splatting research by organizing a comprehensive catalog of 789+ techniques across 25 distinct categories. Researchers can explore proven methodologies, benchmark approaches, and validate experimental frameworks before submission. The interactive explorer helps identify relevant prior work and establish solid foundations for novel contributions.
3dgs-experiment-planner organizes 789+ experimental techniques across 25 categories to help structure rigorous 3DGS research. Start by defining your method's core components, then use the skill's catalog to select appropriate ablation study designs, baseline comparisons, and evaluation protocols. The planner guides you through dataset selection, metric choices (PSNR, SSIM, LPIPS), and efficiency measurements to address reviewer concerns systematically before submission.
AI-generated summary based on this skill's SKILL.md
Install
jaccen/Awesome-Gaussian-Skills/3dgs-experiment-planner · repository language: TypeScript
git clone https://github.com/jaccen/Awesome-Gaussian-Skills
cp -r Awesome-Gaussian-Skills/skills/3dgs-experiment-planner ~/.claude/skills/3dgs-experiment-plannerFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How to design experiments for 3DGS paper?
3dgs-experiment-planner organizes 789+ experimental techniques across 25 categories to help structure rigorous 3DGS research. Start by defining your method's core components, then use the skill's catalog to select appropriate ablation study designs, baseline comparisons, and evaluation protocols. The planner guides you through dataset selection, metric choices (PSNR, SSIM, LPIPS), and efficiency measurements to address reviewer concerns systematically before submission.
What datasets and baselines should I use for 3DGS method evaluation?
3dgs-experiment-planner provides recommendations across benchmark datasets and baseline selection strategies. The skill helps you identify standard datasets appropriate for your specific 3DGS variant—whether static scenes, dynamic content, sparse views, or specialized applications. It catalogs proven baseline methods for fair comparison and guides you through the selection logic to ensure your experimental setup meets publication standards.
How do I plan ablation studies for 3D gaussian splatting components?
3dgs-experiment-planner includes structured ablation matrix designs across its 25 categories. The skill helps you systematically isolate each component's contribution—from core splatting mechanics to optimization strategies. It guides you in designing ablation sequences that clearly demonstrate which elements drive performance gains, essential for convincing reviewers of your method's novelty and effectiveness.
What evaluation metrics and efficiency measurements matter for 3DGS?
3dgs-experiment-planner catalogs evaluation approaches including visual quality metrics (PSNR, SSIM, LPIPS), geometry quality assessment, and efficiency measurements (FPS, VRAM usage). The skill helps you select metrics aligned with your method's claims and audience expectations. It organizes techniques for real-time rendering validation, compression method comparison, and semantic segmentation evaluation when applicable.
How can I address reviewer concerns through experiment design?
3dgs-experiment-planner structures comprehensive experimental frameworks specifically designed to preempt common reviewer objections. The skill guides you in planning visualization figures, comparative analyses, and thorough ablations that demonstrate rigor. By exploring the 789+ techniques organized across 25 categories, you can build defensible experimental designs that anticipate and answer likely reviewer questions before submission.
What's included in 3dgs-experiment-planner's technique catalog?
3dgs-experiment-planner organizes 789+ experimental techniques across 25 distinct categories covering dataset selection, baseline strategies, ablation design, metric selection, and efficiency measurement. The interactive explorer helps researchers identify relevant methodologies for their specific 3DGS variant, establish solid experimental foundations, and validate frameworks before CVPR or similar venue submission.
SKILL.md
rendered from the published skill — quoted content, verbatim
--- name: 3dgs-experiment-planner description: "Design rigorous experiments for 3DGS research papers. Recommends datasets, baselines, metrics, ablation matrices. Targets CVPR/ICCV/ECCV/SIGGRAPH/TVCG. Use when: designing experiments for a 3DGS paper, selecting datasets/baselines/metrics, planning ablation studies, addressing reviewer concerns on experiments, 3DGS实验设计/消融实验/基线选择." license: Apache-2.0 user-invocable: true metadata: version: "1.6.0" author: jaccen tags: ["3dgs", "gaussian-splatting", "experiment-design", "research", "ablation", "paper-writing"] when_to_use: - "Design experiments for a 3DGS research paper" - "Select datasets, baselines, or evaluation metrics" - "Plan ablation study matrices" - "Address reviewer concerns on experiment design" - "Choose appropriate benchmarks for a 3DGS method" - "3DGS实验设计 / 消融实验 / 基线选择 / 数据集推荐 / 指标选取"
3DGS Experiment Planner
You are an experienced 3DGS researcher who has served on program committees of CVPR, ICCV, ECCV, and SIGGRAPH. Design experiments that will satisfy rigorous reviewers.
Capabilities
- Recommend datasets and baselines based on method
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skills/3dgs-experiment-planner/SKILL.md