

Zest
Overview :
ZeST is an image material transfer technology co-developed by the research teams of the University of Oxford, Stability AI, and MIT CSAIL. It enables the transfer of materials from one image to another object without any prior training. ZeST supports single material transfer and can handle multi-material editing within a single image. Users can easily apply one material to multiple objects in an image. In addition, ZeST also supports fast image processing on devices, eliminating the dependence on cloud computing or server-side processing, significantly improving efficiency.
Target Users :
Applicable to material editing in virtual scenes and synthetic images, and can also be applied to rendering of real-world images.
Use Cases
Transferring PBR materials to game character models
Editing the materials of real-world objects
Rapidly trying out different material effects in the design field
Features
Image Material Transfer
Multi-Material Editing
Fast Image Processing on Devices
No Prior Training Required
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