Material Remaster breaths new life into your old or poor quality materials. You can up-res, deblur, fix defects, remove JPEG compression issues, all in one module.
Recycle depreciated content and make it new again with one of the most exciting modules of ArtEngine. The Material Remaster module allows you to increase the native resolution of an image without any loss of quality, by hallucinating new materials and details using a neural network. There are huge catalogues of materials that have become outdated by the increasing standards of today, and this feature renders them useful again.
Take low res images, and using the neural networks of ArtEngine increase the native resolution of the image, without loss of quality Update and recycle catalogues of old materials.
JPEG Compression Removal
Losing original source files happens, however, thanks to this feature, this no longer is an issue. AI can now remove the tell-tale signs of JPEG artifacting.
Material Remaster Use Case
Use Case: Increasing resolutions.
Time saved: Instead of spending time on the creation of new assets, artists can simply repurpose older ones.
Studios have large banks of resources from previous projects, perhaps going back some years which do not reach the standard of contemporary work. Using Artomatix Artists can take those old assets, and treat them to bring them up to current standards. Using the up-res node small resolutions are sharpened, allowing them to more readily slot into a current project.
Rendering accounts for a large part of the time and cost that goes into a HD production. With the recent hike in demand for 4K content, this effectively quadruples the average $500k rendering budget for a 90 minute HD feature.
The standard industry approach today is to use bicubic interpolation to increase the resolution of the image and then to sharpen it using signal processing, which can’t add new details to the image, it can just emphasize the details that are already there.
Artomatix uses neural nets to easily and effectively up-res and remaster both old and new video content, which hasn’t been possible until now. Our neural Networks can imagine new plausible details, it can also de-blur, deliver JPEG artifact removal and gradient removal with impressive results.
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