Large Scale 3D

Large-scale 3D processing focuses on efficiently and accurately analyzing and manipulating vast amounts of three-dimensional data. Current research emphasizes developing novel model architectures, such as transformers and diffusion models, to improve tasks like 3D object detection, segmentation, generation, and scene understanding, often leveraging large-scale datasets and incorporating techniques like contrastive learning and implicit field representations. These advancements are crucial for various applications, including robotics, autonomous driving, and virtual/augmented reality, by enabling more realistic and efficient simulations and interactions with complex 3D environments.