Object Insertion

Object insertion, the task of seamlessly adding objects into images or 3D scenes, aims to create realistic and visually consistent composite results. Current research heavily utilizes diffusion models, often coupled with techniques like ControlNet for fine-grained control and inverse rendering for physically accurate lighting and shadow integration. These advancements are improving the quality and realism of object insertion across various modalities, from 2D images and videos to 3D neural radiance fields. This work has significant implications for applications such as augmented reality, image editing, and data augmentation for computer vision tasks.