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20182026
most citedNoise2Noise: Learning Image Restoration without Clean Data

980 citations · 3.7k across the 19 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 14 cited

Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization

Miika Aittala, Prafull Sharma, Lukas Murmann +4

We recover a video of the motion taking place in a hidden scene by observing changes in indirect illumination in a nearby uncalibrated visible region. We solve this problem by fact…

cs.CV2019

Analyzing and Improving the Image Quality of StyleGAN

Tero Karras, Samuli Laine, Miika Aittala +3

The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its characteris…

cs.CV2019

A Dataset of Multi-Illumination Images in the Wild

Lukas Murmann, Michael Gharbi, Miika Aittala +1

Collections of images under a single, uncontrolled illumination have enabled the rapid advancement of core computer vision tasks like classification, detection, and segmentation. B…

cs.GR2019

Flexible SVBRDF Capture with a Multi-Image Deep Network

Valentin Deschaintre, Miika Aittala, Fredo Durand +2

Empowered by deep learning, recent methods for material capture can estimate a spatially-varying reflectance from a single photograph. Such lightweight capture is in stark contrast…

cs.CV2019★ 26 cited

Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation

Ronnachai Jaroensri, Camille Biscarrat, Miika Aittala +1

Image reconstruction techniques such as denoising often need to be applied to the RGB output of cameras and cellphones. Unfortunately, the commonly used additive white noise (AWGN)…