Contact Information

Get in touch with the Add-it AI research team and find resources for collaboration, questions, and support.

Research Inquiries

Academic Collaboration

For academic research collaborations, technical questions about the methodology, or discussions about extending the Add-it AI work, please reach out to the research team through the appropriate channels.

The Add-it AI project welcomes academic partnerships and research collaborations that advance the field of semantic image editing and diffusion model applications.

NVIDIA Research

For inquiries related to NVIDIA's computer vision research and potential collaborations.

Division: NVIDIA Research Labs

Focus Area: Computer Vision & AI

Project: Add-it AI

University Partners

Research collaboration with Tel-Aviv University and Bar-Ilan University.

Institutions: Tel-Aviv University, Bar-Ilan University

Research Areas: Machine Learning, Computer Vision

Focus: Diffusion Models, Image Editing

Technical Support

GitHub Repository

For technical issues, bug reports, implementation questions, and code-related discussions, please use the GitHub repository's issue tracking system.

Report Issues on GitHub

Documentation and Examples

Comprehensive documentation, usage examples, and implementation guides are available in the official repository and research materials.

Community and Discussion

Research Community

Join discussions about diffusion models, semantic image editing, and AI research in computer vision.

  • Academic conferences and workshops
  • Research paper discussions
  • Technical methodology reviews
  • Future research directions

Developer Community

Connect with developers implementing and extending Add-it AI for various applications.

  • Implementation best practices
  • Application development
  • Performance optimization
  • Integration strategies

Demo and Usage Support

Interactive Demo

Try Add-it AI directly in your browser using the Hugging Face Spaces demo. This provides hands-on experience with the technology and its capabilities.

For demo-specific questions or issues, please refer to the Hugging Face Spaces platform or the GitHub repository for technical support.

Business and Commercial Inquiries

Commercial Licensing

For commercial applications, licensing inquiries, and business partnerships related to Add-it AI technology, please refer to NVIDIA's business development channels.

Commercial use of Add-it AI may be subject to specific licensing terms and conditions. Please consult the official repository and NVIDIA's licensing guidelines for detailed information.

Important Note

Add-it AI is primarily a research project. For commercial deployment, please review the licensing terms in the GitHub repository and contact NVIDIA's appropriate business channels for commercial licensing discussions.

Contact Guidelines

Before Contacting

  • Review the research paper for technical details
  • Check the GitHub repository for existing issues
  • Try the interactive demo to understand capabilities
  • Read the documentation and examples
  • Search existing discussions and forums

When Contacting

  • Be specific about your inquiry or issue
  • Provide relevant technical details when applicable
  • Include steps to reproduce any technical problems
  • Specify whether inquiry is academic or commercial
  • Be patient for responses from research teams

Additional Resources

Research Paper

Complete technical methodology and experimental results

Read on arXiv →

Source Code

Implementation, examples, and technical documentation

View on GitHub →

NVIDIA Research

Official project page and research context

Visit Research Page →