Holo360D: A Large-Scale Real-World Dataset with Continuous Trajectories for Advancing Panoramic 3D Reconstruction and Beyond
Researchers have introduced Holo360D, a new large-scale dataset designed to improve panoramic 3D reconstruction. This dataset features over 109,000 panoramas with registered point clouds, meshes, and camera poses, addressing limitations of existing datasets that use discrete camera locations. Holo360D provides continuous trajectories and high-completeness depth maps, collected using a 3D laser scanner and 360 camera, and enhanced with SLAM systems and a tailored post-processing pipeline. The dataset aims to establish a new benchmark for advancing feed-forward 3D reconstruction models, particularly in multi-view scenarios. AI
IMPACT Provides a new benchmark and dataset to advance panoramic 3D reconstruction models.