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09/17/2023
All-optical image denoising using a diffractive visual processor
Image denoising, one of the essential inverse problems, targets to remov...
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08/29/2023
Pyramid diffractive optical networks for unidirectional magnification and demagnification
Diffractive deep neural networks (D2NNs) are composed of successive tran...
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08/05/2023
Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network
As a label-free imaging technique, quantitative phase imaging (QPI) prov...
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12/25/2022
Data class-specific all-optical transformations and encryption
Diffractive optical networks provide rich opportunities for visual compu...
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12/10/2022
Snapshot Multispectral Imaging Using a Diffractive Optical Network
Multispectral imaging has been used for numerous applications in e.g., e...
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06/21/2022
Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks
Permutation matrices form an important computational building block freq...
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06/15/2022
Super-resolution image display using diffractive decoders
High-resolution synthesis/projection of images over a large field-of-vie...
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05/26/2022
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects
Privacy protection is a growing concern in the digital era, with machine...
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03/25/2022
Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network
Research on optical computing has recently attracted significant attenti...
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01/22/2022
Diffractive all-optical computing for quantitative phase imaging
Quantitative phase imaging (QPI) is a label-free computational imaging t...
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11/02/2021
Cascadable all-optical NAND gates using diffractive networks
Owing to its potential advantages such as scalability, low latency and p...
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08/22/2021
All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces
We report the design of diffractive surfaces to all-optically perform ar...
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08/18/2021
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
Diffractive optical networks unify wave optics and deep learning to all-...
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10/24/2020
Scale-, shift- and rotation-invariant diffractive optical networks
Recent research efforts in optical computing have gravitated towards dev...
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09/15/2020
Ensemble learning of diffractive optical networks
A plethora of research advances have emerged in the fields of optics and...
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07/25/2020
All-Optical Information Processing Capacity of Diffractive Surfaces
Precise engineering of materials and surfaces has been at the heart of s...
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06/30/2020
Terahertz Pulse Shaping Using Diffractive Legos
Recent advances in deep learning have been providing non-intuitive solut...
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05/23/2020
Misalignment Resilient Diffractive Optical Networks
As an optical machine learning framework, Diffractive Deep Neural Networ...
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05/15/2020
Machine Vision using Diffractive Spectral Encoding
Machine vision systems mostly rely on lens-based optical imaging archite...
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09/14/2019
Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks
We report a broadband diffractive optical neural network design that sim...
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06/08/2019
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy
Diffractive deep neural networks have been introduced earlier as an opti...
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10/10/2018
Response to Comment on "All-optical machine learning using diffractive deep neural networks"
In their Comment, Wei et al. (arXiv:1809.08360v1 [cs.LG]) claim that our...
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10/03/2018