# Exploring Sparsity in Image Super-Resolution for Efficient Inference

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/exploring-sparsity-in-image-super-resolution-for-efficient-inference/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Longguang Wang,Xiaoyu Dong,Yingqian Wang,Xinyi Ying,Zaiping Lin,Wei An,Yulan Guo |
| Citations | 305 |
| DOI | 10.1109/cvpr46437.2021.00488 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3170026688 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Yingqian Wang](https://scholariq.org/researchers/yingqian-wang/)

## Paper primary topic

- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)

## Paper topics

- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)
- [Image Processing Techniques and Applications](https://scholariq.org/topics/image-processing-techniques-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.