Major upgrade to photoreal 3D scanning system expands cloud-based toolset with Featureless Object Scan 2.0 and Auto-Rigging, along with major UI enhancements that improve feature access and ease of use.
KIRI Innovations has just released KIRI Engine 3.9, a major upgrade that expands the horizon of cloud-based 3D scanning with Featureless Object Scan 2.0 and Auto-Rigging, along with major quality of life changes. This extensive update reimagines what a 3D scanner app can do, bringing versatility to solidify the most fundamental aspects while stepping into the future of what this comprehensive tool can accomplish.
First, the KIRI Engine app UI has received a major rework, drastically improving accessibility and intuitiveness for users, with features now categorized neatly in a simplistic manner. While KIRI has always featured the best scans laid out one by one on a dedicated explore page, the new update has condensed the explore-page UI to showcase the highlighted stunning scans and other standout projects from the community, making accessing and engaging with these inspirational 3D models more straightforward than ever.
KIRI's Co-Founder and CEO Jack Wang shares, “KIRI Engine always strives to provide high-quality 3D scanning solutions with affordability and ease of access, and the latest update fully embodies this mission statement. Photo limits have been increased for both plan options: from 70 to 100 for the free plan, and from 200 to 300 for the Pro plan. In addition, free users of the app can now upload photos for Photo Scan mode from their local library for processing on both the mobile versions and the web platform.”
“Now, for the really exciting stuff,” Wang continues. “KIRI Engine now supports Auto-Rig Generation, made possible with AI. For a long time, 3D scanning has been a rather static tool in 3D content creation, providing merely 3D assets. While tried and true, the limited functions of 3D scanning also meant limited usability in workflow pipelines for many creators. Auto-Rig Generation reimagines what can be extracted from a simple 3D scan, offering more versatility in 3D scanning creation than ever before. Users can now export 3D scanned models with automatically generated skeletal rigs, allowing them to directly use these 'digital replicas' of real-life objects in lively animations. In essence, anything can now come to life and start moving!”
As a proprietary scanning technology, Featureless Object Scan is one of KIRI Engine's “proudest,” most significant and advanced features to date; the new 3.9 update features yet more functionality for this revolutionary scanning method. The newly improved Neural Surface Reconstruction (NSR) algorithm drastically improves the overall quality of the mesh outputs, significantly decreasing the input requirement threshold while simultaneously increasing the details of the output. Its previous generation, despite its strong capability of combating the limitations of traditional photogrammetry, still often struggled with highly reflective surfaces, especially transparent ones. With continuous intensive training of the algorithm after its initial release, the updated Featureless Object Scan is now more powerful and reliable than ever.
KIRI Engine has also improved its existing algorithms such as PBR texture generation and quad-mesh retopology, allowing for versatile output selections with a redesigned advanced export menu.
“This is by far KIRI Engine's biggest update,” Wang concludes, “bringing features and improvements unlike any 3D scanner software ever before.”
Take a look at the official release video for even more information about this update:
To find out more, visit https://www.kiriengine.app/
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Try KIRI Engine now for free:
- Download KIRI Engine on Google Play Store: https://play.google.com/store/apps/details?id=com.kiriengine.app
- Download KIRI Engine on App Store: https://apps.apple.com/us/app/kiri-engine-3d-scanner-lidar/id1577127142
- KIRI Engine WEB Version: https://www.kiriengine.app/web-version/
Source: KIRI Innovations
Dan Sarto is Publisher and Editor-in-Chief of Animation World Network.