Introduction to ReplaceAnything
The ReplaceAnything project, spearheaded by researchers from the Institute for Intelligent Computing at Alibaba Group, offers a cutting-edge solution for ultra-high quality content replacement. This innovative project allows users to replace content like clothing, background, and even entire human figures in images without compromising the integrity of the surrounding areas.
Project Team
The team includes esteemed researchers such as Binghui Chen, Chao Li, Chongyang Zhong, Wangmeng Xiang, Yifeng Geng, and Xuansong Xie. These experts are affiliated with prestigious institutions and collectively bring a wealth of knowledge and experience to the project.
Getting Involved
For those interested in the broader field of Artificial Intelligence Generated Content (AIGC), the group offers more insightful works which can be accessed on their GitHub page. The team is also open to collaboration and is actively seeking research interns. Interested individuals can reach out via email to express interest.
Project News
- May 16, 2024: The team released detailed information about their VirtualModel on Arxiv, underscoring its importance to the ReplaceAnything project.
- January 12, 2024: ReplaceAnything v1.0 became available for testing on HuggingFace in English.
- January 11, 2024: The project was also made available on ModelScope 魔搭 in Chinese.
Users are encouraged to explore these platforms, experiment with the tool, and share their results or feedback with the team.
Upcoming Plans
The project has a few significant milestones lined up:
- Demos have already been released, allowing users to see the tool in action.
- The research paper is currently under review, with plans for its release soon.
- The team intends to release the project code once the paper is officially published.
Project Gallery
The project's gallery displays various applications of ReplaceAnything:
Clothing Replacement
Users can replace clothing in images while ensuring the rest of the image remains untouched.
Background Replacement
This feature is perfect for updating ID photos or family portraits by replacing the background, yet maintaining the focal area intact.
Human Replacement
Whole human figures can be swapped in images, providing a revolutionary approach to content modification.
More Background Replacements
Beyond portraits, any background can be switched, retaining the masked region and foreground details for a seamless transition.
ReplaceAnything highlights the future of image editing, allowing precise alterations without affecting non-targeted regions. This technology holds potential for use in various fields such as photography, design, and entertainment. Don't forget to give the project a star if you find it intriguing!