Deep multi-scale video prediction beyond mean square error Deep multi-scale video prediction beyond mean square error
Paper summary Predict frames of a video using 3 newly proposed and complementary methods: 1. Multi scale cnn 2. GAN 3. Image gradient difference loss Datasets: ----------- * UCF101 * Sports1M GAN ------ Generator: * Input: several frames of video from dataset * output: next frame of video Discriminator: * input: original and last frame * output: is the last frame from dataset or generated Problem: Still blurry on edges on moving object. Solution: Image gradient difference loss
arxiv.org
scholar.google.com
Deep multi-scale video prediction beyond mean square error
Mathieu, Michaël and Couprie, Camille and LeCun, Yann
arXiv e-Print archive - 2015 via Local Bibsonomy
Keywords: dblp


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