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

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

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 50 Hz 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. A glasses-free three-dimensional display, which is as large as a conventional desktop screen and has a viewing angle larger than 100°, is achieved by an artificial intelligence-powered optimization algorithm, which adapts the virtual images sent around each eye in real time.

External IDs:dblp:journals/nature/MaZZOZ25