181 citations · 702 across the 49 of their papers we have counts for
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Zero-Shot Noise2Noise: Efficient Image Denoising without any Data
Youssef Mansour, Reinhard Heckel
Recently, self-supervised neural networks have shown excellent image denoising performance. However, current dataset free methods are either computationally expensive, require a no…
Image-to-Image MLP-mixer for Image Reconstruction
Youssef Mansour, Kang Lin, Reinhard Heckel
Neural networks are highly effective tools for image reconstruction problems such as denoising and compressive sensing. To date, neural networks for image reconstruction are almost…
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Reinhard Heckel, Paul Hand
Deep neural networks, in particular convolutional neural networks, have become highly effective tools for compressing images and solving inverse problems including denoising, inpai…
DiffuserCam: Lensless Single-exposure 3D Imaging
Nick Antipa, Grace Kuo, Reinhard Heckel +4
We demonstrate a compact and easy-to-build computational camera for single-shot 3D imaging. Our lensless system consists solely of a diffuser placed in front of a standard image se…