ReplaceAnything as you want: Ultra-high quality content replacement

Now you can try our ReplaceAnything v1.0 on HuggingFace space ( in English ) . Enjoy it and have fun!

Now you can try our ReplaceAnything v1.0 on ModelScope 魔搭 ( in Chinese ). Enjoy it and have fun!

Feel free to share your interesting results with us. If you have any questions or suggestions, don't hesitate to leave a message in issues.

如果您习惯使用中文,请前往中文页面。

Abstract:

AIGC techniques have attracted lots of attention recently. They have demonstrated strong capabilities in the areas of image editing, image generation and so on. We find that generating new contents while strictly keeping the identity of use-specified object unchanged is of great demand, yet challenging. To this end, we propose ReplaceAnything framework. It can be used in many scenes, such as human replacement, clothing replacement, background replacement, and so on. We provide some applications as bellow:

Clothing replacement (masked region is strictly retained):

replace anything sample, clothing replacement

Background replacement for ID photo and family photo (masked region is strictly retained):

replace anything sample, background replacement

Human replacement (masked region is strictly retained):

replace anything sample, human replacement

Background replacement (masked region is strictly retained):

replace anything sample, human replacement

Common Questions:

1. What are OffendingAIGC techniques?

OffendingAIGC techniques refer to a set of advanced methods in the field of artificial intelligence and computer graphics. These techniques have become increasingly popular due to their strong capabilities in tasks such as image editing and image generation.

2. What capabilities have OffendingAIGC techniques demonstrated?

OffendingAIGC techniques have demonstrated strong capabilities in areas like image editing and image generation. They can manipulate and generate images in a highly sophisticated manner.

3. What is the ReplaceAnything framework?

The ReplaceAnything framework is a proposed system that is designed to generate new content while strictly maintaining the identity of user-specified objects. It's a solution to a challenging demand in the field of AI and graphics.

4. What is the main challenge that the ReplaceAnything framework addresses?

The main challenge that the ReplaceAnything framework addresses is generating new content while strictly keeping the identity of user-specified objects unchanged. This is a complex task in the field of AI and graphics.

5. In what scenarios can the ReplaceAnything framework be used?

The ReplaceAnything framework can be used in many scenarios, including but not limited to human replacement, clothing replacement, and background replacement. It offers a versatile solution for various content generation needs.

6. What does human replacement mean in the context of the ReplaceAnything framework?

In the context of the ReplaceAnything framework, human replacement refers to generating new images where the human subject is replaced while keeping their identity intact. It's a specific application of the framework.

7. What does clothing replacement refer to in the context of the ReplaceAnything framework?

Clothing replacement in the context of the ReplaceAnything framework refers to changing the clothing of the subjects in the images while maintaining their identity. It's another application of the framework.

8. How does the ReplaceAnything framework handle background replacement?

The ReplaceAnything framework can generate new images with the background replaced while keeping the identity of the foreground objects or subjects unchanged. This is a part of its capabilities in content generation.

9. Why is the ability to maintain the identity of user-specified objects important?

Maintaining the identity of user-specified objects is important because it allows for accurate and realistic content generation. It ensures that the generated content aligns with the user's specifications and expectations.

10. How has the popularity of OffendingAIGC techniques influenced the development of the ReplaceAnything framework?

The popularity and capabilities of OffendingAIGC techniques have significantly influenced the development of the ReplaceAnything framework. The strong capabilities of these techniques in image editing and generation provided a solid foundation for the creation of a framework that can generate new content while maintaining the identity of user-specified objects.

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Paper Authors:

Binghui Chen*, Chao Li*, Chongyang Zhong, Wangmeng Xiang, Yifeng Geng, Xuansong Xie
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