• Skip to main content
  • Skip to primary sidebar
AAAI

AAAI

Association for the Advancement of Artificial Intelligence

    • AAAI

      AAAI

      Association for the Advancement of Artificial Intelligence

  • About AAAIAbout AAAI
    • AAAI Officers and Committees
    • AAAI Staff
    • Bylaws of AAAI
    • AAAI Awards
      • Fellows Program
      • Classic Paper Award
      • Dissertation Award
      • Distinguished Service Award
      • Allen Newell Award
      • Outstanding Paper Award
      • Award for Artificial Intelligence for the Benefit of Humanity
      • Feigenbaum Prize
      • Patrick Henry Winston Outstanding Educator Award
      • Engelmore Award
      • AAAI ISEF Awards
      • Senior Member Status
      • Conference Awards
    • AAAI Resources
    • AAAI Mailing Lists
    • Past AAAI Presidential Addresses
    • Presidential Panel on Long-Term AI Futures
    • Past AAAI Policy Reports
      • A Report to ARPA on Twenty-First Century Intelligent Systems
      • The Role of Intelligent Systems in the National Information Infrastructure
    • AAAI Logos
    • News
  • aaai-icon_ethics-diversity-line-yellowEthics & Diversity
  • Conference talk bubbleConferences & Symposia
    • AAAI Conference
    • AIES AAAI/ACM
    • AIIDE
    • IAAI
    • ICWSM
    • HCOMP
    • Spring Symposia
    • Summer Symposia
    • Fall Symposia
    • Code of Conduct for Conferences and Events
  • PublicationsPublications
    • AAAI Press
    • AI Magazine
    • Conference Proceedings
    • AAAI Publication Policies & Guidelines
    • Request to Reproduce Copyrighted Materials
  • aaai-icon_ai-magazine-line-yellowAI Magazine
    • Issues and Articles
    • Author Guidelines
    • Editorial Focus
  • MembershipMembership
    • Member Login
    • Developing Country List
    • AAAI Chapter Program

  • Career CenterCareer Center
  • aaai-icon_ai-topics-line-yellowAITopics
  • aaai-icon_contact-line-yellowContact

Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective

February 1, 2023

Download PDF

Authors

Hongyuan Zhu

Institute for Infocomm Research


Xi Peng

Sichuan University


Joey Tianyi Zhou

A*Star


Songfan Yang

TAL Education Group


Vijay Chanderasekh

Institute for Infocomm Research


Liyuan Li

Institute for Infocomm Research


Joo-Hwee Lim

Institute for Infocomm Research


DOI:

10.1609/aaai.v33i01.33019332


Abstract:

Single image rain-streak removal is an extremely challenging problem due to the presence of non-uniform rain densities in images. Previous works solve this problem using various hand-designed priors or by explicitly mapping synthetic rain to paired clean image in a supervised way. In practice, however, the pre-defined priors are easily violated and the paired training data are hard to collect. To overcome these limitations, in this work, we propose RainRemoval-GAN (RRGAN), the first end-to-end adversarial model that generates realistic rain-free images using only unpaired supervision. Our approach alleviates the paired training constraints by introducing a physical-model which explicitly learns a recovered images and corresponding rain-streaks from the differentiable programming perspective. The proposed network consists of a novel multiscale attention memory generator and a novel multiscale deeply supervised discriminator. The multiscale attention memory generator uses a memory with attention mechanism to capture the latent rain streaks context at different stages to recover the clean images. The deeply supervised multiscale discriminator imposes constraints at the recovered output in terms of local details and global appearance to the clean image set. Together with the learned rainstreaks, a reconstruction constraint is employed to ensure the appearance consistent with the input image. Experimental results on public benchmark demonstrates our promising performance compared with nine state-of-the-art methods in terms of PSNR, SSIM, visual qualities and running time.

Topics: AAAI

Primary Sidebar

HOW TO CITE:

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective Proceedings of the AAAI Conference on Artificial Intelligence (2019) 9332-9339.

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective AAAI 2019, 9332-9339.

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim (2019). Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. Proceedings of the AAAI Conference on Artificial Intelligence, 9332-9339.

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim. Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.9332-9339.

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim. 2019. Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. "Proceedings of the AAAI Conference on Artificial Intelligence". 9332-9339.

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim. (2019) "Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective", Proceedings of the AAAI Conference on Artificial Intelligence, p.9332-9339

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim, "Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective", AAAI, p.9332-9339, 2019.

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim. "Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.9332-9339.

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim. "Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 9332-9339.

Hongyuan Zhu||Xi Peng||Joey Tianyi Zhou||Songfan Yang||Vijay Chanderasekh||Liyuan Li||Joo-Hwee Lim. Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. AAAI[Internet]. 2019[cited 2023]; 9332-9339.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
Cookie SettingsAccept All
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT