Git for Sketches: An Intelligent Tracking System for Capturing Design Evolution
#DIMES #sGIT #Version Control #Digital Sketching #Generative AI #Machine Learning #Product Conceptualization
📌 Key Takeaways
- DIMES introduces a custom visual version control architecture called sGIT (SketchGit).
- The system utilizes a specialized module named AEGIS that employs hybrid Deep Learning and Machine Learning models.
- AEGIS is capable of classifying six distinct stroke types to better understand design intent.
- The platform combines Generative AI with version control to support the non-linear nature of creative work.
📖 Full Retelling
🏷️ Themes
Artificial Intelligence, Design Engineering, Software Development
📚 Related People & Topics
Machine learning
Study of algorithms that improve automatically through experience
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances i...
Version control
Managing versions of source code or data
Version control (also known as revision control, source control, and source code management) is the software engineering practice of controlling, organizing, and tracking different versions in history of computer files – primarily source code text files, but generally any type of file. Version contr...
Generative artificial intelligence
Subset of AI using generative models
# Generative Artificial Intelligence (GenAI) **Generative artificial intelligence** (also referred to as **generative AI** or **GenAI**) is a specialized subfield of artificial intelligence focused on the creation of original content. Utilizing advanced generative models, these systems are capable ...
DIMES
Distributed Internet topology software
DIMES (Distributed Internet Measurements and Simulations) was a subproject of the EVERGROW Integrated Project in the EU Information Society Technologies, Future and Emerging Technologies programme. It studied the structure and topology of the Internet to obtain map and annotate it with delay, loss a...
🔗 Entity Intersection Graph
Connections for Machine learning:
- 🌐 Large language model (7 shared articles)
- 🌐 Electroencephalography (3 shared articles)
- 🌐 Computer vision (3 shared articles)
- 🌐 Generative artificial intelligence (2 shared articles)
- 🌐 Natural language processing (2 shared articles)
- 🌐 Artificial intelligence (2 shared articles)
- 🌐 Graph neural network (2 shared articles)
- 🌐 Neural network (2 shared articles)
- 🌐 Transformer (1 shared articles)
- 🌐 User interface (1 shared articles)
- 👤 Stuart Russell (1 shared articles)
- 🌐 Ethics of artificial intelligence (1 shared articles)
📄 Original Source Content
arXiv:2602.06047v1 Announce Type: cross 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 stro