KO
|
EN
gitlite — search
Search
#python
#nodejs
#react
#go
#csharp
#java
#android
#react-native
#haskell
#algorithms
#binary
#golang
RC-LUT
★ 34
Open GitHub ↗
No description available.
Download README (.md)
Explore Similar Repositories
iTunesStoreX
:
iOS Tweak that fixes the AppStore connection issues and its UI layout on older iOS versions by redirecting or overriding various dead or broken URL's, compatible with iOS 6.0-6.1.4
OpenAI
:
No description available.
Toys-No.031_WebGLSchool-Task08-InfinityGallery
:
WebGLスクール課題08
gogo2
:
gogo2
gcache
:
No description available.
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
RC-LUT
?
Download (.md)
## Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution [Guandu Liu*], Yukang Ding, Mading Li, Ming Sun, Xing Wen and [Bin Wang#] ## Efficiency  ## Overview The core idea of our paper is RC Module.  ## Usage Our code follows the architecture of [MuLUT](https://github.com/ddlee-cn/MuLUT). In the sr directory, we provide the code of training RC-LUT networks, transferring RC-LUT network into LUts, finetuning LUTs, and testing LUTs, taking the task of single image super-resolution as an example. In the `common/network.py`, `RC_Module` is the core module of our paper. ### Dataset Please following the instructions of [training](./data/DIV2K/README.md). And you can also prepare [SRBenchmark](./data/DIV2K/README.md) ### Installation Clone this repo ``` git clone https://github.com/liuguandu/RC-LUT ``` Install requirements: torch>=1.5.0, opencv-python, scipy ### Train First, please train RC network follow next code ``` sh ./sr/5x57x79x9MLP_combined.sh ``` updating...
