Exploring Sparsity in Image Super-Resolution for Efficient Inference.
Longguang WangXiaoyu DongYingqian WangXinyi YingZaiping LinWei AnYulan GuoPublished in: CVPR (2021)
Keyphrases
- em algorithm
- efficient inference
- image super resolution
- hidden variables
- maximum a posteriori
- sparse representation
- dictionary learning
- probabilistic inference
- super resolution
- parameter estimation
- low resolution
- markov networks
- markov random field
- conditional random fields
- image registration
- image patches
- fully connected
- image classification
- high resolution
- probabilistic model
- sparse coding
- high dimensional
- image segmentation
- face recognition
- object recognition
- graph structure
- learning algorithm
- natural images