Generative AI #radiancefields #neuralnetworks #novelviewsynthesisĪfter 6 months of hard work, deep code refactoring, and meticulous optimization practices, we have successfully ported our software to Standalone Quest, keeping all 3D assets, simulations, and features completely the same.
We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (≥ 100 fps) novel-view synthesis at 1080p resolution." For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. "Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. It appears that they've hit a breakthrough.
The team of Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, & George Drettakis have been working on a method of real-time radiance field rendering using "3D Gaussians".
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