Realtime Glasses-Free 3D Display with Seamless Ultrawide Viewing Range using Deep Learning

The pursuit of glasses-free three-dimensional (3D) displays represents an ultimate vision in display technology that could revolutionize human interaction with digital content. While near-eye solutions have shown promise at centimeter scales, scaling up to natural viewing circumstances (like desktop-monitor sizes) remains physically impossible due to the fundamental limitations of confined space-bandwidth product (SBP) in modern optical systems. Existing automultiscopic approaches attempt to address this challenge by trading viewing angles for larger imaging size, but under the limited SBP must compromise between broadish yet discrete effectual viewpoints, or continuous but restricted viewing zone. The limited SBP has made the display with both large scale and wide angle unattainable for over 50 years. Here we present EyeReal, the first artificial-intelligence-based method that maximally harness the constrained SBP to achieve true glasses-free 3D display over seamless ultrawide natural viewing ranges. The proposed neural network approach physically incorporates ocular geometric encoding and structured optical loss functions, enabling accurate but rapid computation of any-view optimal light field with physical-depth interpretability. Through extensive experimental validations, EyeReal demonstrates unprecedented 3D display with seamless viewing angles exceeding 100 degrees with complete parallax types (horizontal, vertical, radial, continuous, and focal) and no vergence-accommodation conflict, a combination previously thought impossible. This is maintained at high frame rates (over 50 hertz) with 1920×1080 resolutions on consumer hardware. This breakthrough establishes a potential foundation for next-generation consumer-grade 3D displays, opening new horizons across education, design, virtual interaction.