Joint Deblurring and 3D Reconstruction for Macrophotography
dc.contributor.author | Zhao, Yifan | en_US |
dc.contributor.author | Li, Liangchen | en_US |
dc.contributor.author | Zhou, Yuqi | en_US |
dc.contributor.author | Wang, Kai | en_US |
dc.contributor.author | Liang, Yan | en_US |
dc.contributor.author | Zhang, Juyong | en_US |
dc.contributor.editor | Christie, Marc | en_US |
dc.contributor.editor | Pietroni, Nico | en_US |
dc.contributor.editor | Wang, Yu-Shuen | en_US |
dc.date.accessioned | 2025-10-07T05:02:36Z | |
dc.date.available | 2025-10-07T05:02:36Z | |
dc.date.issued | 2025 | |
dc.description.abstract | Macro lens has the advantages of high resolution and large magnification, and 3D modeling of small and detailed objects can provide richer information. However, defocus blur in macrophotography is a long-standing problem that heavily hinders the clear imaging of the captured objects and high-quality 3D reconstruction of them. Traditional image deblurring methods require a large number of images and annotations, and there is currently no multi-view 3D reconstruction method for macrophotography. In this work, we propose a joint deblurring and 3D reconstruction method for macrophotography. Starting from multi-view blurry images captured, we jointly optimize the clear 3D model of the object and the defocus blur kernel of each pixel. The entire framework adopts a differentiable rendering method to self-supervise the optimization of the 3D model and the defocus blur kernel. Extensive experiments show that from a small number of multi-view images, our proposed method can not only achieve high-quality image deblurring but also recover high-fidelity 3D appearance. | en_US |
dc.description.number | 7 | |
dc.description.sectionheaders | Reconstruction from Close-up Image | |
dc.description.seriesinformation | Computer Graphics Forum | |
dc.description.volume | 44 | |
dc.identifier.doi | 10.1111/cgf.70253 | |
dc.identifier.issn | 1467-8659 | |
dc.identifier.pages | 11 pages | |
dc.identifier.uri | https://doi.org/10.1111/cgf.70253 | |
dc.identifier.uri | https://diglib.eg.org/handle/10.1111/cgf70253 | |
dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
dc.subject | CCS Concepts: Computing methodologies → Computer graphics; Image processing; 3D imaging | |
dc.subject | Computing methodologies → Computer graphics | |
dc.subject | Image processing | |
dc.subject | 3D imaging | |
dc.title | Joint Deblurring and 3D Reconstruction for Macrophotography | en_US |