Comments (1)
Train an SR model with a large patch size improves the performance, but it also drastically increases the training time and the memory consumption so that most of the methods use limited (48x48 or 64x64 for x4 scale) patch size.
However, from my experience, I have observed that performance improvement of using a large patch size is marginal when the patch size is larger than the 64x64. This may be because the SR model refers to the very adjacent neighbors when they reconstruct the pixel, but still, this is not clearly proven.
from cutblur.
Related Issues (20)
- image size HOT 2
- The cutout function in augments.py HOT 1
- RCAN X2 PSNR only 36.xx HOT 7
- How to use cutblur on video super resolution? HOT 1
- Training Problem HOT 2
- about cutblur function
- Why do you use nearest method for matching the resolution of (LR, HR) due to CutBlur ? HOT 7
- Is the test result the average value of multiple models? HOT 2
- about the size of input、output and HR in the demo
- no improvement, but rather a decline HOT 1
- What is the size of the image block you use at the x2, x3, and x4 scales?
- train on custom dataset
- Loss keeps oscillating during training
- Blend & RGB channel permutation seems cause PSNR metric drop
- Pretrained model HOT 3
- Division by zero error HOT 1
- No Output and It says 0it [00:00, ?it/s] HOT 2
- Patchsize 24 HOT 1
- Train using different dataset HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from cutblur.