Pre Trained 2 Dimensional

Pre-trained 2D models are being extensively leveraged to advance 3D computer vision, addressing the scarcity of labeled 3D data. Research focuses on adapting these models for 3D tasks like object recognition, scene reconstruction, and segmentation, often employing techniques like knowledge distillation, multi-view consistency, and point cloud-to-image transformations. This approach significantly improves efficiency and performance in 3D applications, impacting fields such as autonomous driving, medical imaging, and 3D game development by enabling more robust and data-efficient solutions.