Learned Display Radiance Fields with Lensless Cameras
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866914089388736512 |
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| author | Chen, Ziyang Itoh, Yuta Akşit, Kaan |
| author_facet | Chen, Ziyang Itoh, Yuta Akşit, Kaan |
| contents | Calibrating displays is a basic and regular task that content creators must perform to maintain optimal visual experience, yet it remains a troublesome issue. Measuring display characteristics from different viewpoints often requires specialized equipment and a dark room, making it inaccessible to most users. To avoid specialized hardware requirements in display calibrations, our work co-designs a lensless camera and an Implicit Neural Representation based algorithm for capturing display characteristics from various viewpoints. More specifically, our pipeline enables efficient reconstruction of light fields emitted from a display from a viewing cone of 46.6° X 37.6°. Our emerging pipeline paves the initial steps towards effortless display calibration and characterization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_03356 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Learned Display Radiance Fields with Lensless Cameras Chen, Ziyang Itoh, Yuta Akşit, Kaan Computer Vision and Pattern Recognition Emerging Technologies Calibrating displays is a basic and regular task that content creators must perform to maintain optimal visual experience, yet it remains a troublesome issue. Measuring display characteristics from different viewpoints often requires specialized equipment and a dark room, making it inaccessible to most users. To avoid specialized hardware requirements in display calibrations, our work co-designs a lensless camera and an Implicit Neural Representation based algorithm for capturing display characteristics from various viewpoints. More specifically, our pipeline enables efficient reconstruction of light fields emitted from a display from a viewing cone of 46.6° X 37.6°. Our emerging pipeline paves the initial steps towards effortless display calibration and characterization. |
| title | Learned Display Radiance Fields with Lensless Cameras |
| topic | Computer Vision and Pattern Recognition Emerging Technologies |
| url | https://arxiv.org/abs/2510.03356 |