Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging

6 July 2022

Papers citing "Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging"

7 / 7 papers shown

Title
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution Jiayi Lin Yan Huang Liang Wang 44 35 0 12 May 2021
Deformable ConvNets v2: More Deformable, Better Results Xizhou Zhu Han Hu Stephen Lin Jifeng Dai ObjD 116 2,019 0 27 Nov 2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Y. Fu SupR 103 4,331 0 08 Jul 2018
HDR image reconstruction from a single exposure using deep CNNs Gabriel Eilertsen J. Kronander G. Denes Rafał K. Mantiuk Jonas Unger 3DV 123 552 0 20 Oct 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 267 2,448 0 07 Sep 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 350 8,174 0 13 Aug 2016
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 316 4,180 0 26 Apr 2015