3d Image

Three-dimensional (3D) image processing focuses on creating, manipulating, and analyzing 3D representations of objects and scenes, aiming to extract meaningful information beyond what's possible with 2D images. Current research emphasizes developing efficient algorithms for 3D image reconstruction from various sources, including 2D images and videos, utilizing architectures like diffusion models, transformers, and convolutional neural networks (CNNs), often combined with other techniques such as graph convolutions or multi-layer perceptrons (MLPs). These advancements are significantly impacting fields like medical imaging (e.g., improved diagnostics and surgical planning), material science (e.g., enhanced crack detection), and computer vision (e.g., more realistic scene generation and manipulation), enabling more accurate analysis and improved decision-making in diverse applications.