Abstract 3D vision-language (3D-VL) grounding, which aims to align language with 3D
physical environments, stands as a cornerstone in developing embodied agents. In …

Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text
into well-structured and textured indoor scenes at a house-scale. By prompting Large …

With recent developments in Embodied Artificial Intelligence (EAI) research there has been
a growing demand for high-quality large-scale interactive scene generation. While prior …

We present PoliFormer (Policy Transformer), an RGB-only indoor navigation agent trained
end-to-end with reinforcement learning at scale that generalizes to the real-world without …

Despite advances in text-to-3D generation methods, generation of multi-object
arrangements remains challenging. Current methods exhibit failures in generating …

Computer vision tasks typically involve describing what is visible in an image (eg
classification detection segmentation and captioning). We study a visual common sense task …

Abstract We introduce Infinigen Indoors a Blender-based procedural generator of
photorealistic indoor scenes. It builds upon the existing Infinigen system which focuses on …

Simulated virtual environments have been widely used to learn robotic agents that perform
daily household tasks. These environments encourage research progress by far, but often …

Embodied AI agents require a fine-grained understanding of the physical world mediated
through visual and language inputs. Such capabilities are difficult to learn solely from task …

Despite much progress in large 3D datasets there are currently few interactive 3D object
datasets, and their scale is limited due to the manual effort required in their construction. We …