Deep Mean-Shift Priors for Image Restoration

NeurIPS 2017 Siavash Arjomand BigdeliMeiguang JinPaolo FavaroMatthias Zwicker

In this paper we introduce a natural image prior that directly represents a Gaussian-smoothed version of the natural image distribution. We include our prior in a formulation of image restoration as a Bayes estimator that also allows us to solve noise-blind image restoration problems... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Super-Resolution Set14 - 4x upscaling Deep Mean-Shift Priors PSNR 26.22 # 45
Image Super-Resolution Set5 - 4x upscaling Deep Mean-Shift Priors PSNR 29.16 # 42

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet