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Found 6 papers, 2 papers with code
Stochastic Light Field Holography
The Visual Turing Test is the ultimate goal to evaluate the realism of holographic displays.
Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
As a result, modern holographic displays possess low \'{e}tendue, which is the product of the display area and the maximum solid angle of diffracted light.
Untrained networks for compressive lensless photography
We demonstrate our untrained approach on lensless compressive 2D imaging as well as single-shot high-speed video recovery using the camera's rolling shutter, and single-shot hyperspectral imaging.
Unrolled, model-based networks for lensless imaging
Various reconstruction methods are explored, on a scale from classic iterative approaches (based on the physical imaging model) to deep learned methods with many learned parameters.
Learned reconstructions for practical mask-based lensless imaging
In this work, we address these limitations using a bounded-compute, trainable neural network to reconstruct the image.
DiffuserCam: Lensless Single-exposure 3D Imaging
We demonstrate a compact and easy-to-build computational camera for single-shot 3D imaging.
