OLATverse: A Large-scale Real-world Object Dataset with Precise Lighting Control

arXiv — cs.CV•Thursday, November 6, 2025 at 5:00:00 AM

The OLATverse dataset, recently introduced on arXiv, represents a significant advancement in object-centric rendering and view synthesis research. Comprising approximately 9 million images of 765 real-world objects, it stands out as a large-scale resource that surpasses the scope of previous smaller datasets. A key feature of OLATverse is its precise lighting control, enabling detailed study of objects under varied illumination conditions. This meticulous approach to lighting enhances the dataset's quality and utility for computer vision and graphics applications. By offering such a comprehensive and carefully curated collection, OLATverse aims to address limitations faced by earlier datasets in capturing real-world object appearances. The dataset's scale and controlled conditions provide researchers with new opportunities to develop and evaluate rendering techniques more effectively. Overall, OLATverse is poised to become a valuable asset for advancing the state of the art in visual object modeling.

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