Git for Sketches: An Intelligent Tracking System for Capturing Design Evolution

• URL: http://arxiv.org/abs/2602.06047v1
• Date: Fri, 06 Feb 2026 16:52:38 GMT
• Title: Git for Sketches: An Intelligent Tracking System for Capturing Design Evolution
• Authors: Sankar B, Amogh A S, Sandhya Baranwal, Dibakar Sen,
• Abstract summary: We introduce DIMES, a web-based environment featuring sGIT (SketchGit), a custom visual version control architecture, and Generative AI.<n>Experts using DIMES demonstrated a 160% increase in breadth of concept exploration.<n>Generative AI modules generated narrative summaries that enhanced knowledge transfer.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: During product conceptualization, capturing the non-linear history and cognitive intent is crucial. Traditional sketching tools often lose this context. We introduce DIMES (Design Idea Management and Evolution capture System), a web-based environment featuring sGIT (SketchGit), a custom visual version control architecture, and Generative AI. sGIT includes AEGIS, a module using hybrid Deep Learning and Machine Learning models to classify six stroke types. The system maps Git primitives to design actions, enabling implicit branching and multi-modal commits (stroke data + voice intent). In a comparative study, experts using DIMES demonstrated a 160% increase in breadth of concept exploration. Generative AI modules generated narrative summaries that enhanced knowledge transfer; novices achieved higher replication fidelity (Neural Transparency-based Cosine Similarity: 0.97 vs. 0.73) compared to manual summaries. AI-generated renderings also received higher user acceptance (Purchase Likelihood: 4.2 vs 3.1). This work demonstrates that intelligent version control bridges creative action and cognitive documentation, offering a new paradigm for design education.

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