Imagine effortlessly creating intricate, interactive 3D environments, from bustling cityscapes to cozy apartments, all with the help of AI. Researchers have unveiled a groundbreaking approach called ARCHITECT, a system that leverages the power of 2D image inpainting to construct vivid 3D scenes. Traditional methods of 3D environment creation often involve painstaking manual design or rely on procedural generation with pre-defined rules, limiting flexibility and realism. Large Language Models (LLMs), while promising, struggle with true spatial reasoning in 3D. ARCHITECT tackles these challenges by cleverly utilizing pre-trained 2D image inpainting models. These models, trained on massive datasets, possess a rich understanding of object relationships and scene composition. ARCHITECT starts with a simple, empty 3D scene and renders a 2D image of it. It then uses inpainting to fill in this image with desired objects, guided by text prompts. This process is repeated iteratively, allowing for complex, multi-layered scenes. The real magic happens when ARCHITECT lifts the 2D inpainted image back into the 3D world. By leveraging depth estimation models, the system translates the 2D image into a 3D point cloud, accurately placing objects within the environment. This process also cleverly sidesteps the challenges of camera parameters and depth scale ambiguities by using the initial empty scene as a reference. The hierarchical nature of ARCHITECT allows it to generate scenes with remarkable detail. It first populates the scene with larger objects like furniture and then iteratively adds smaller items, creating a realistic sense of clutter and complexity. This approach also offers flexibility, allowing users to start with a simple text description, a floor plan, or even an existing 3D scene to refine and enhance. Experiments show that ARCHITECT surpasses current methods in creating realistic and intricate environments, paving the way for exciting new possibilities in robotics, embodied AI, and virtual reality applications. Imagine training robots in incredibly diverse simulated scenarios, building detailed virtual worlds for gaming and metaverse experiences, or even creating realistic 3D models from simple sketches. While ARCHITECT currently relies on existing 3D model databases, future research aims to integrate generative methods for creating novel objects on the fly, unlocking truly boundless creative potential. This innovative approach represents a major leap towards democratizing 3D environment creation, offering a powerful tool for researchers, developers, and creators alike.