GithubHelp home page GithubHelp logo

liheyoung / freemask Goto Github PK

View Code? Open in Web Editor NEW
128.0 128.0 1.0 13.32 MB

[NeurIPS 2023] FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models

Home Page: https://arxiv.org/abs/2310.15160

License: MIT License

Python 99.61% Shell 0.39%
generative-model perception semantic-segmentation synthetic-data

freemask's People

Contributors

liheyoung avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar

Forkers

luffy03

freemask's Issues

[Datasets Sharepoint Issue] The file size exceeds the allowed limit.

Hi @LiheYoung,

I received an error when trying to download the ADE20K_Synthetic.zip file from OneDrive SharePoint.
The error message stated:


The file size exceeds the allowed limit.
CorrelationId: b3dc19da-f990-432e-95f5-5e3e26e50e35,
UTC DateTime: 11/08/2023 13:35:48


Would you be able to split the dataset into smaller collections and re-upload them?

Many thanks

Inquiry about Performance on PASCAL VOC2012 Dataset

Thanks the authors for the inspiring work! It has contributed to my understanding and research in this field.
I am also curious if the authors have attempted on datasets like PASCAL VOC2012?
Look forward to any further information you provide.

Synthesized data generation

Hi. Since the FreestyleNet takes text and layout as input, what are the prompts that you used for generating data?
How to automatically set different prompts for multiple generation?

Suggetions about how to achieve domain-specific semantic image synthesis

Hi, author! Thanks for your great work. I have a question about how to achieve domain-specific semantic image synthesis. For example, I want to use a semantic mask from Cityscapes and an image from GTA5 as style references to generate a GTA5-styled image in an unsupervised domain adaptation (UDA) task. Compared with FreeMask, I add an image for style references. Do you have any ideas about how to deal with this additional image to obtain style information for FreeStyleNet? Looking forward to your reply.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.