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JCAD&CG Artifact Evaluation & Data Availability

brycewang-stanfordbybrycewang-stanford
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1.1k
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Learning & Documentation

Prepares reproducible graphics artifacts, double-blind anonymization, and honest data availability statements for Journal of CAD & Computer Graphics submissions.

This skill guides researchers submitting to the Journal of Computer-Aided Design & Computer Graphics (JCAD&CG) in structuring, packaging, and documenting their research artifacts—including source code, 3D meshes, point clouds, pre-trained weights, and rendering scripts. It emphasizes research integrity by aligning claims with actual disclosures, implementing rigorous double-blind anonymization (scrubbing user paths, metadata, and video watermarks), and drafting honest availability statements with alternative verification pathways for proprietary datasets.

Key Features

01Structures complete graphics artifacts including code, 3D meshes, weights, and rendering scripts
02Ensures double-blind review compliance by scrubbing repositories, metadata, and video watermarks
03Drafts clear and honest data and code availability statements with alternative verification pathways
04Establishes clean-environment reproducibility workflows with standardized run_all scripts
05Audits third-party licensing compliance and attribution for datasets and pretrained models
061,079 GitHub stars

Use Cases

01Preparing anonymous code and mesh repositories for initial double-blind JCAD&CG peer review
02Drafting accurate data availability statements when using proprietary or size-constrained CAD datasets
03Organizing graphics and geometric processing assets into reproducible, DOI-ready archival structures