Abstract:
Recently, Artificial Intelligence Graphic Computing (AIGC) techniques have garnered substantial attention. These techniques exhibit formidable capabilities in fields such as image editing and image generation. We've identified a notable but challenging demand for generating new content while stringently maintaining the identity of user-specified objects. To tackle this demand, we have proposed the 'ReplaceAnything' framework. This framework finds utility across numerous scenarios like human replacement, clothing replacement, and background replacement, among other applications. We also furnish several use-case examples pertaining to this framework.
Clothing replacement :
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Clothing DESIGN
TOP / MODEL
WEBFLOW
Background replacement for ID photo and family photo
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Photo
UI / UX
WEBFLOW
Background replacement
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WEB DESIGN
UI / UX
WEBFLOW