2 Dimensional Image

Two-dimensional image processing research centers on efficiently representing and manipulating 2D images, often leveraging techniques from 3D computer vision and graphics. Current efforts focus on developing novel neural network architectures, such as neural implicit representations and diffusion models, to improve image editing, occlusion boundary estimation, and the inference of 3D information from single 2D views. These advancements are driving progress in diverse applications, including autonomous driving, medical imaging, e-commerce, and orthodontics, by enabling more accurate and efficient image analysis and manipulation.