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使用深度学习技术的裸眼3D显示器,具有超宽的观看范围
作者:小柯机器人 发布时间:2025/11/28 14:21:23


近日,上海人工智能实验室钟翰森团队报道了使用深度学习技术的裸眼3D显示器,具有超宽的观看范围。相关论文于2025年11月26日发表在《自然》杂志上。

裸眼三维(3D)显示器无需佩戴任何设备即可为用户提供沉浸式视觉体验。要实现高质量3D成像,显示器需同时具备大尺寸和宽视角。然而,光学系统的空间-带宽积(空间与带宽的乘积)通常制约着这两者的同步最大化。目前最常见的两种3D显示方案——全息显示与自视差显示——分别以牺牲尺寸或视角为代价。近期,一些人工智能增强的实现方案展示了缓解这些限制的可能方向,但仍在固定空间-带宽积内运行。因此,制造大尺寸宽视角3D显示器仍具挑战性。

研究组报道了一种大尺寸全视差3D显示装置EyeReal,其在低成本光场传输系统上实现了100°以上无缝视场,且维持50赫兹刷新率与1920×1080分辨率。该装置通过精确建模双目视图并结合深度学习实时优化,为每只眼睛生成最优光场输出。此技术有望应用于教育工具、3D设计及虚拟现实领域。

附:英文原文

Title: Glasses-free 3D display with ultrawide viewing range using deep learning

Author: Ma, Weijie, Zhao, Zhangrui, Zhao, Canyu, Ouyang, Wanli, Zhong, Han-Sen

Issue&Volume: 2025-11-26

Abstract: Glasses-free three-dimensional (3D) displays provide users with an immersive visual experience without the need of any wearable devices1,2. To achieve high-quality 3D imaging, a display should have both large linear dimensions and a wide viewing angle. However, the trade-off between spatial extent and bandwidth of optical systems, the space–bandwidth product, conventionally constrains the simultaneous maximization of the two. The two most common approaches to 3D displays are holographic3,4 and automultiscopic1,5,6, which, respectively, sacrifice either scale or viewing angle. Recently, some implementations enhanced by artificial intelligence have shown directions to mitigate these constraints, but they still operate within a set space–bandwidth product7,8. As a result, it remains challenging to fabricate large-scale wide-angle 3D displays9. Here we report the realization of a large-scale full-parallax 3D display with seamless viewing beyond 100°, maintained at over 50Hz and 1,920×1,080 resolution on a low-cost light-field delivery setup. This device, called EyeReal, is realized by accurately modelling binocular view and combining it with a deep-learning real-time optimization, enabling the generation of optimal light-field outputs for each of the eyes. Our device could potentially enable applications in educational tools, 3D design and virtual reality10,11.

DOI: 10.1038/s41586-025-09752-y

Source: https://www.nature.com/articles/s41586-025-09752-y

期刊信息

Nature:《自然》,创刊于1869年。隶属于施普林格·自然出版集团,最新IF:69.504
官方网址:http://www.nature.com/
投稿链接:http://www.nature.com/authors/submit_manuscript.html