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
Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →
IMPACT Provides a new benchmark and dataset to advance panoramic 3D reconstruction models.
RANK_REASON The cluster describes a new dataset and benchmark for 3D reconstruction published on arXiv.