Comments (3)
Thanks for sharing your great work.
I have a question about the output of your network is it ready to be shown on the hdr display?
Is it in the light domain or perceptual domain? in other words do I need to perform de-normalization to make it work for the HDR displays?
Also, I have the same question about the domain of the existing approaches you compared your approach with, what are the domains of those (such as hdrcnn, expandnet, and drtmo and others)
Do you solved it?
from singlehdr.
@HamidTohidypour @HamidTohidypour
Really sorry for the late reply.
The output of the network is in the linear domain with float32 precision.
I am not very sure. But if you want to display the output using an HDR display.
You might need to normalize and quantize the output HDR file into the format that fits the display.
We mainly compare all the methods in the linear domain.
But we also include the comparisons of the tone-mapped images in the supplementary material (Table 4).
Thank you!
from singlehdr.
Thanks for the help. Sorry for the delayed reply
from singlehdr.
Related Issues (20)
- A question for debug
- Segmentation fault (core dumped)
- Link in demo version is broken
- HDR-synth LDR set HOT 2
- Link to download the pre-trained models down :( HOT 1
- Question about HDR-VDP Q-score , PSNR, SSIM of HDR-Real test set HOT 2
- File Missing HOT 1
- about network parameters
- [Feature requested] Could you please provide a pytorch version of the code?
- Which tone mapping algorithm did you use? HOT 2
- About download of HDR-Eye dataset HOT 1
- Question about HDR-Real dataset
- TypeError: __int__ returned non-int (type NoneType) HOT 3
- about train data formats
- Question about 'Joint training of the entire pipeline and Refinement-Net'
- Can port this algo to android platform?
- About CRF How Can I Get From Single Image From My Camera
- Update to latest Tensor
- tensorflow.contrib error HOT 1
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 singlehdr.