2 papers
cs.LG2026
Arko-T: A Foundation Model for Text-to-Structured 3D Generation
Liang Wang, Zhaoyang Xi, Zekai Xiang +5
Text-to-3D systems can now synthesize a model from a single sentence, yet the result is a shape to render, not a design to edit. We present Arko-T, a 4B-parameter text-to-design mo…
cs.LG2026
Text2CAD-Bench: A Benchmark for LLM-based Text-to-Parametric CAD Generation
Liang Wang, Heng Meng, Zekai Xiang +4
Text-to-CAD generation aims to create parametric CAD models from natural language, enabling rapid prototyping and intuitive design workflows. However, existing benchmarks focus on…