Towards an automation of many kinds of image context.
Automating Material-Matching for Movies and Video Games
MIT News by Adam Conner-Simons
Massachusetts Institute of Technology (MIT) and Adobe researchers described a new system they developed for texturing computer-generated objects as being easy as capturing a photo of an object and reconstructing it on a laptop. MaTCH uses a "DiffMat" library that supplies the various building blocks for constructing different textured materials, while dozens of "procedural graphs" comprise different nodes that convert input into output in specific artistic ways. Said Shi, "The neural network selects the most appropriate combinations of filter nodes until it perceptually matches the appearance of the user's input image." The team tested MaTCH on rendered synthetic materials and real materials captured on camera, and found the system can recreate materials more accurately and at higher resolution than current state-of-the-art methods. ... "
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