Complicated images: Mirror effects and transparent materials
[ Florian Aigner - At the TU Wien (Vienna), neural networks have been developed which make it much easier to create photorealistic pictures of a wide variety of materials. If computer-generated images are to look realistic, different materials have to be presented differently: The metallic sheen of a coin looks quite different from the dull gloss of a wooden plate or the slightly transparent skin of a grape. Exactly simulating such material effects usually requires a lot of experience and patience. Many different parameters need to be adjusted carefully, then the computer takes a while to calculate the corresponding image, and then the same procedure is repeated, until the result is fully satisfactory. At TU Wien (Vienna), new methods have now been developed that make this process much faster and easier. An artificial intelligence recognizes the designer's creative desires and autonomously proposes suitable sample images. A neural network applies the selected material parameters to a sample object in real time.
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