aDSL: Agentic 3D Creation via Joint Agent-Program Design
Ranking
Overall
81
Content
90
Popularity
59
Observed public metrics from 1 member.
Merged summary
TL;DR - aDSL jointly designs a 3D-focused domain-specific language and a role-specialized multi-agent workflow to make LLM-generated 3D programs more reliable, controllable, and editable. It improves text-to-shape and image-to-shape performance by replacing brittle coordinate choices with semantic structure and spatial relations.
- The DSL provides composable relational operators for expressing geometry and constraints rather than relying on absolute coordinates.
- A training-free Plan-Execute-Critic loop decomposes requests, generates code, and repairs errors or constraint violations using execution feedback.
- Experiments report better robustness and intent fidelity than prior LLM-based baselines while retaining explicit structure and interpretability.
- The approach also supports articulated-object creation and structured scene composition.
Sources (1)
aDSL: Agentic 3D Creation via Joint Agent-Program Design
Public signals
Hugging Face upvotes 7
TL;DR - aDSL jointly designs a 3D-focused domain-specific language and a role-specialized multi-agent workflow to make LLM-generated 3D programs more reliable, controllable, and editable. It improves text-to-shape and image-to-shape performance by replacing brittle coordinate choices with semantic structure and spatial relations.
- The DSL provides composable relational operators for expressing geometry and constraints rather than relying on absolute coordinates.
- A training-free Plan-Execute-Critic loop decomposes requests, generates code, and repairs errors or constraint violations using execution feedback.
- Experiments report better robustness and intent fidelity than prior LLM-based baselines while retaining explicit structure and interpretability.
- The approach also supports articulated-object creation and structured scene composition.