# Zj-BinXia/KDSR

<https://repo.masters-masters.com/en/repos/Zj-BinXia/KDSR>

[Home](https://repo.masters-masters.com/en) › [Zj-BinXia](https://repo.masters-masters.com/en/owners/Zj-BinXia) › [KDSR](https://repo.masters-masters.com/en/repos/Zj-BinXia/KDSR)

Zj-BinXia/KDSR has 131 stars on GitHub. Its RepoMasters card: Prototype tier. This project is the official implementation of 'Knowledge Distillation based…

| Field | Value |
| --- | --- |
| Owner | [Zj-BinXia](https://repo.masters-masters.com/en/owners/Zj-BinXia) |
| Stars | 131 |
| Forks | 2 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | super-resolution, representation-learning, blind-super-resolution, real-world-super-resolution |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Zj-BinXia/KDSR](https://github.com/Zj-BinXia/KDSR) |

## Repository

This project is the official implementation of 'Knowledge Distillation based Degradation Estimation for Blind Super-Resolution', ICLR2023

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.