Frame Interpolation with Multi-Scale Deep Loss Functions and Generative
Adversarial Networks

Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks

16 November 2017

Joost R. van Amersfoort

Alejandro Acosta

Francisco Massa

Papers citing "Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks"

16 / 16 papers shown

Title
Video Frame Interpolation via Adaptive Separable Convolution Simon Niklaus Long Mai Feng Liu 99 700 0 05 Aug 2017
Video Frame Interpolation via Adaptive Convolution Simon Niklaus Long Mai Feng Liu 75 503 0 22 Mar 2017
Video Frame Synthesis using Deep Voxel Flow Ziwei Liu Raymond A. Yeh Xiaoou Tang Yiming Liu A. Agarwala 90 748 0 08 Feb 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 246 3,077 0 06 Dec 2016
Optical Flow Estimation using a Spatial Pyramid Network Anurag Ranjan Michael J. Black 3DPC 96 1,215 0 03 Nov 2016
YouTube-8M: A Large-Scale Video Classification Benchmark Sami Abu-El-Haija Nisarg Kothari Joonseok Lee Apostol Natsev G. Toderici Balakrishnan Varadarajan Sudheendra Vijayanarasimhan VLM 120 1,265 0 27 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 240 10,674 0 15 Sep 2016
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness Jason J. Yu Adam W. Harley Konstantinos G. Derpanis 62 409 0 20 Aug 2016
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation Yaroslav Ganin Daniil Kononenko Diana Sungatullina Victor Lempitsky CVBM 52 122 0 25 Jul 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 218 10,230 0 27 Mar 2016
Unsupervised convolutional neural networks for motion estimation A. Ahmadi Ioannis Patras 44 102 0 22 Jan 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 243 13,989 0 19 Nov 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 292 7,379 0 05 Jun 2015
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 302 4,172 0 26 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014