MIT News AI
Jul 16
A better way to turn 2D designs into 3D models for rapid prototyping
Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
New tool lets users repair AI-generated 3D models, then fabricate them just the way they want
The article introduces "InstructMesh," a new tool that allows users to repair AI-generated 3D models and then fabricate them exactly as desired. It can generate designs for everyday objects that are easy to edit and suitable for both experts and newcomers to 3D modeling.
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arXiv Computer Vision
Aug 26
ViSculpt: Visual-Centric Agentic Geometry Editing
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arXiv AI
Jun 6
MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generation
arXiv:2605. 28579v2 Announce Type: replace Abstract: Large language models (LLMs) have recently advanced text-driven 3D generation, yet Text-to-CAD remains far from supporting industrial product design.
arXiv AI
1d ago
EditHero: A Benchmark for Long-Horizon Part-Level 3D Editing and Vibe Modeling
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arXiv AI
Jul 28
Fashion-3DLR: A Controllable 3D Garment Generation Using Pairwise Fashion Elements for Intelligent Design
arXiv:2607. 23189v1 Announce Type: cross Abstract: AI-generated content (AIGC) has made significant progress, with 2D generative models becoming ready-to-use tools for the digital fashion industry.
arXiv Computer Vision
4d ago
LiteReality-Agent: An Agentic System for Interactable 3D Indoor Scene Reconstruction
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arXiv Computer Vision
Aug 28
Procedura: Agentic 3D Modeling with Procedural Control
Procedura is a new 3D modeling agent that treats 3D shape as code, using a large language model to generate a procedural assembly from a text prompt. It constructs an assembly graph, writes a parametric program with named parts and typed mates, and verifies each part through compile, mate, and connectivity checks before adding it. A vision critic refines the assembly step‑by‑step, and the resulting program includes per‑part materials and simulator‑validated articulation, producing sharp edges and editable, part‑structured outputs that outperform existing native 3D generators on P3D‑Bench and MechBench‑36.
arXiv Computer Vision
Sep 1
SemanticSlider3D: Training-Free Continuous Semantic Editing for 3D Objects
arXiv:2608.18560v2 Announce Type: replace-cross Abstract: Fine-grained control over continuous semantic attributes of 3D objects is essential for 3D content creation, but is not well supported by con...
Hugging Face Trending Papers
Aug 19
SemanticSlider3D: Training-Free Continuous Semantic Editing for 3D Objects
Fine-grained control over continuous semantic attributes of 3D objects is essential for 3D content creation, but is not well supported by conventional 3D modeling workflows or prompt-based interaction...
arXiv Machine Learning
Jun 30
Arko-T: A Foundation Model for Text-to-Structured 3D Generation
arXiv:2606. 30429v1 Announce Type: new Abstract: Text-to-3D systems can now synthesize a mechanical part from a single sentence, yet the result is a shape to render, not a design to edit.
arXiv AI
Jun 2
3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code
arXiv:2606. 01057v1 Announce Type: cross Abstract: Procedural 3D modeling through code is emerging as a versatile paradigm, offering deterministic, engine-ready, and precisely editable assets that neural 3D generators inherently lack.
Hugging Face Trending Papers
Aug 19
Beyond Placement and Articulation: Usage-Driven Code Scenes for Embodied Interaction
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