Render-FM predicts 6D Gaussian splatting parameters from a CT volume in a single feedforward pass, enabling real-time rendering with quality comparable to per-scan optimized methods.
High-quality mul- timodal volume rendering for preoperative planning of neurosurgical interventions.IEEE Transactions on Visualization and Computer Graphics, 13(6):1696–1703, 2007
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Render-FM: Feedforward Model for Real-time Photorealistic Volumetric Rendering
Render-FM predicts 6D Gaussian splatting parameters from a CT volume in a single feedforward pass, enabling real-time rendering with quality comparable to per-scan optimized methods.