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Found 4 papers, 1 papers with code
Neural Nearest Neighbors Networks
To exploit our relaxation, we propose the neural nearest neighbors block (N3 block), a novel non-local processing layer that leverages the principle of self-similarity and can be used as building block in modern neural network architectures.
Ranked #1 on
Grayscale Image Denoising
on Set12 sigma70
Stochastic Variational Inference with Gradient Linearization
In this paper we propose stochastic variational inference with gradient linearization (SVIGL).
Robust Multi-Image HDR Reconstruction for the Modulo Camera
While the concept is appealing, we show that the original reconstruction approach assumes noise-free measurements and quickly breaks down otherwise.
Benchmarking Denoising Algorithms with Real Photographs
Lacking realistic ground truth data, image denoising techniques are traditionally evaluated on images corrupted by synthesized i. i. d.
