![]() Other features announced include real-time spectral temporal denoising and “complex lens effects, environment medium scattering and chromatic aberration”.īoth result from the integration of the new Brigade spectral rendering kernel, which was previously scheduled for OctaneRender 2022.1. Integration of the Brigade spectral rendering kernel and multi-rendering held back from Octane 2022 Otoy describes the resulting object as a “fundamentally new asset type not a volume, not a mesh: this is something totally different”. Neural Rendering appears to be an inverse rendering system, with users feeding in a target render or photo and OctaneRender generating an ‘AI object’ matching it. No special set-up is required for either the meshes of textures in the scene being rendered. The former is a scene streaming system that Otoy compares to Nanite, the virtualised geometry system introduced in Unreal Engine 5.0.Īccording to Otoy, it removes the performance hit associated with going out of core – when the scene being rendered is larger than will fit into GPU memory – at the expense of requiring a fast SSD to stream in data. ![]() Of the features announced, the newest are meshlet streaming and neural rendering, shown above in a clip of a livestream from Nvida’s GTC conference earlier this year. (Full disclosure: Otoy posted an overview of the new features on its blog late last month, but we were in the middle of our annual round-up of Black Friday deals, so we didn’t manage to run a story at the time.)ĭue in Octane 2023: meshlet streaming and neural rendering ![]() The release is currently in closed beta, along with the recently announced Octane X for iPad. ![]() Key changes include meshlet streaming, which Otoy compares to UE5’s Nanite system, plus the long-awaited multi-rendering system and integration of the Brigade spectral rendering kernel. Otoy has unveiled Octane 2023, the next major version of the GPU production renderer, announcing features due in OctaneRender 2023.1 and Octane X, its new Metal-native macOS edition. ![]()
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