Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders

10 June 2020

Papers citing "Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders"

9 / 9 papers shown

Title
DenoiSeg: Joint Denoising and Segmentation T. Buchholz M. Prakash Alexander Krull Florian Jug 3DV DiffM 34 61 0 06 May 2020
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping Ruofan Zhou Majed El Helou D. Sage T. Laroche A. Seitz Sabine Süsstrunk 32 9 0 12 Mar 2020
High-Quality Self-Supervised Deep Image Denoising S. Laine Tero Karras J. Lehtinen Timo Aila 53 337 0 29 Jan 2019
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images Yide Zhang Yinhao Zhu Evan L. Nichols Qingfei Wang Siyuan Zhang Cody J. Smith S. Howard 43 182 0 26 Dec 2018
Noise2Void - Learning Denoising from Single Noisy Images Alexander Krull T. Buchholz Florian Jug 101 1,099 0 27 Nov 2018
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis Huaibo Huang Zhihang Li Ran He Zhenan Sun Tieniu Tan DRL 43 266 0 17 Jul 2018
Learning Deep CNN Denoiser Prior for Image Restoration Peng Sun W. Zuo Shuhang Gu Lei Zhang SupR 141 1,843 0 11 Apr 2017
Denoising Criterion for Variational Auto-Encoding Framework Daniel Jiwoong Im Sungjin Ahn Roland Memisevic Yoshua Bengio 69 194 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 98 2,358 0 19 Nov 2015