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Found 3 papers, 2 papers with code
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
The problem of estimating a surface shape from its observed reflectance properties still remains a challenging task in computer vision.
Efficient Blind-Spot Neural Network Architecture for Image Denoising
Standard denoising techniques, which use deep neural networks at their core, require pairs of clean and noisy images for its training.
Image Restoration using Plug-and-Play CNN MAP Denoisers
Plug-and-play denoisers can be used to perform generic image restoration tasks independent of the degradation type.
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