The University of Texas Austin Researchers Propose HM3D-ABO: A Photo-realistic Dataset for Object-Centric Multi-View 3D Reconstruction

Since the rise in popularity of AR/VR applications, researchers have been studying the process of reconstructing 3D objects. Researchers can create data-driven algorithms for object reconstruction using multi-view renderings from object model collecting datasets. However, the clean backdrops create a gap with real-world photos. Things3D has made an effort to provide those object renderings as […]

The post The University of Texas Austin Researchers Propose HM3D-ABO: A Photo-realistic Dataset for Object-Centric Multi-View 3D Reconstruction appeared first on MarkTechPost.

3d 3d reconstruction ai paper summary ai shorts applications artificial intelligence austin computer vision country dataset editors pick researchers staff tech news technology university university of texas at austin university research usa