Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark

Key points

• In this paper, we study physically grounded articulated 3D asset generation---moving the goal from reproducing how objects look to capturing how they move and function.1
• Furthermore, we construct a unified benchmark spanning four key aspects: spatial fidelity, physical plausibility, downstream task performance, and overall quality.1
• Through extensive evaluation of more than 10 representative models, Artisan achieves competitive spatial fidelity while attaining the lowest collision rates and highest stability rates among the evaluated methods.1
• Together, our system and benchmark establish insights for advancing 3D generation towards physically plausible, functionally usable assets.1

Sources (2)

• [1]Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 9, 05:59 PM

  Inspired by the literature on procedural and agentic generation, we present Artisan, a system that extends the latest method Articraft by introducing a multi-agent pipeline with physical simulation feedback, enabling comprehensive attributes beyond geometry, appearance, and physically plausible articulation, such as collision-free motion, stability under gravity, and accurate mass and material pro

  In this paper, we study physically grounded articulated 3D asset generation---moving the goal from reproducing how objects look to capturing how they move and function.

• [2]Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark
  Hugging Face Daily Papers · Oct 9, 12:00 AM · same content

Extractive summary: sentences quoted from the sources.