Instance Reconstruction

Instance reconstruction focuses on recovering the complete 3D geometry of individual objects within complex scenes, a crucial task in computer vision and related fields. Current research emphasizes developing novel deep learning models, including diffusion models and neural radiance fields, to achieve accurate and detailed reconstructions from various data sources like images, videos, and LiDAR scans. These advancements are driving progress in applications such as medical image analysis, urban scene understanding, and robotic manipulation by enabling more robust and accurate 3D scene representations. The development of large-scale, high-quality datasets with aligned annotations is also a key focus, improving the training and evaluation of these models.