3D Indoor Scene

3D indoor scene generation focuses on creating realistic and diverse virtual indoor environments, primarily aiming to automate the design process and provide data for various applications. Current research heavily utilizes generative models, including diffusion models, GANs, and transformer-based architectures, often incorporating scene graphs, floor plans, and even human motion data as conditioning factors to improve realism and controllability. This field is significant for its potential impact on fields like gaming, virtual and augmented reality, robotics, and computer vision, providing both high-quality synthetic data for training and enabling new interactive applications.