Zibra AI’s latest offering, ZibraVDB, is hopefully transforming the landscape of volumetric effects in virtual production and game development. By compressing OpenVDB files up to 100 times, ZibraVDB enables real-time rendering of complex effects like smoke and fire within Unreal Engine and Houdini, previously a challenge due to large file sizes and processing demands.
Compression Without Compromise
ZibraVDB tackles the hefty memory footprint of traditional OpenVDB files by focusing on essential channels—density, heat, and temperature—achieving significant compression without noticeable loss in visual quality. This advancement allows for the integration of high-fidelity volumetric effects directly into real-time environments, streamlining workflows and reducing storage requirements.
Seamless Integration with Industry Tools
Designed with usability in mind, ZibraVDB offers plugins for both Unreal Engine and Houdini, facilitating a smooth transition between creation and implementation. The Houdini plugin, now included in the standard subscription, allows for direct compression of VDB files, which can then be imported into Unreal Engine for real-time rendering. This integration supports up to 15 light sources per volume, ambient lighting, self-shadowing, and reflections, enhancing the realism of volumetric effects.
Flexible Options for Diverse Needs
ZibraVDB caters to a range of users with its tiered offerings. Independent creators can access a free version that allows up to five compressions, providing an opportunity to explore the technology without initial investment. For larger studios, the ZibraVDB Studio subscription offers custom development, offline licensing, and dedicated support.
Considerations for Implementation
While ZibraVDB presents a significant advancement in real-time volumetric rendering, it’s essential for production teams to evaluate its integration within their specific workflows. Testing and validation are recommended to ensure compatibility and to fully leverage the tool’s capabilities in live projects. For more information and to explore ZibraVDB’s offerings, visit Zibra AI’s official website.
