PlaceIt3D: Language-Guided Object Placement in Real 3D Scenes
Ahmed Abdelreheem, Filippo Aleotti, Jamie Watson, Zawar Qureshi, Abdelrahman Eldesokey, Peter Wonka, Gabriel Brostow, Sara Vicente, Guillermo Garcia-Hernando
2025-05-09
Summary
This paper talks about PlaceIt3D, a new challenge where AI models are asked to put objects into real 3D scenes just by following written instructions, like 'put the chair next to the window.'
What's the problem?
The problem is that while AI is getting better at understanding language and working with 3D objects, it's still really hard for models to accurately place things in a 3D space based only on text descriptions, especially in realistic environments.
What's the solution?
The researchers created a special benchmark and dataset that lets them test and measure how well AI models can follow language instructions to place objects in 3D scenes. This helps them see which models do the best job and where improvements are needed.
Why it matters?
This matters because being able to control 3D environments with language could make things like virtual reality, video games, and interior design much easier and more interactive. It also helps push AI to better understand both language and space, which is useful for many future technologies.
Abstract
A new task for placing 3D assets in real 3D scenes based on textual prompts is introduced, with a benchmark and dataset for evaluating 3D LLMs.