End-to-end Holistic 3D Scene Understanding with Attention

This project focuses on end-to-end holistic 3D scene understanding using attention mechanisms. The primary objective is to reconstruct a 3D scene from a single RGB image. To achieve this, the project employs advanced techniques to predict various aspects of the scene, including the shapes of objects, their poses, and the overall room layout. By integrating attention mechanisms, the system is designed to focus on relevant features in the image, enhancing the accuracy and detail of the 3D reconstruction. This approach aims to provide a comprehensive understanding of 3D scenes from limited visual information, which has significant implications for fields like augmented reality, robotics, and interior design.