108 citations · 182 across the 4 of their papers we have counts for
4 papers
Fast, nonlocal and neural: a lightweight high quality solution to image denoising
Yu Guo, Axel Davy, Gabriele Facciolo +2
With the widespread application of convolutional neural networks (CNNs), the traditional model based denoising algorithms are now outperformed. However, CNNs face two problems. Fir…
MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Yu Guo, Cameron Smith, Miloš Hašan +2
We address the problem of reconstructing spatially-varying BRDFs from a small set of image measurements. This is a fundamentally under-constrained problem, and previous work has re…
Joint Demosaicking and Denoising Benefits from a Two-stage Training Strategy
Yu Guo, Qiyu Jin, Gabriele Facciolo +2
Image demosaicking and denoising are the first two key steps of the color image production pipeline. The classical processing sequence has for a long time consisted of applying den…
A Bayesian Inference Framework for Procedural Material Parameter Estimation
Yu Guo, Milos Hasan, Lingqi Yan +1
Procedural material models have been gaining traction in many applications thanks to their flexibility, compactness, and easy editability. We explore the inverse rendering problem…