Name
Abstract | ||
|---|---|---|
This paper reviews the NTIRE 2021 challenge on learning the super-Resolution space. It focuses on the participating methods and final results. The challenge addresses the problem of learning a model capable of predicting the space of plausible super-resolution (SR) images, from a single low-resolution image. The model must thus be capable of sampling diverse outputs, rather than just generating a ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CVPRW53098.2021.00072 | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
Keywords | DocType | ISSN |
Measurement,Computer vision,Conferences,Superresolution,Predictive models,Pattern recognition | Conference | 2160-7508 |
ISBN | Citations | PageRank |
978-1-6654-4899-4 | 4 | 0.38 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Lugmayr | 1 | 7 | 1.10 |
| Danelljan Martin | 2 | 1344 | 49.35 |
| Radu Timofte | 3 | 1880 | 118.45 |