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#real-time-rendering News & Analysis

4 articles tagged with #real-time-rendering. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles
AIBullisharXiv – CS AI · Jun 237/10
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Scene-Level Heterogeneous Physics Simulation with 3D Gaussian Splats

Researchers have developed a framework that enables 3D Gaussian Splatting (3DGS) assets to participate in complex, physics-based simulations alongside traditional CG assets in full scenes. By translating diverse assets into a unified particle representation, the work overcomes previous limitations that restricted physics interactions to isolated, object-centric scenarios, enabling realistic two-way interactions between deformable 3DGS objects, fluids, meshes, and captured environments.

AIBullisharXiv – CS AI · Jun 237/10
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Render-FM: Feedforward Model for Real-time Photorealistic Volumetric Rendering

Render-FM is a feedforward neural model that generates photorealistic 3D renderings of CT scans in 2.8 seconds, achieving a 500x speedup over traditional optimization methods. By directly predicting Gaussian Splatting parameters with anatomy-guided priors, the model enables real-time clinical visualization without per-scan training, making advanced volumetric rendering practical for hospital workflows.

AIBullisharXiv – CS AI · May 276/10
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AssetGen: Deployable 3D Asset Generation at Interactive Speed

AssetGen is a new 3D asset generation system that produces deployment-ready 3D models from a single image in 30 seconds (or 14 seconds for preview quality), complete with optimized geometry, textures, and polygon budgets suitable for real-time and mobile rendering. The system prioritizes practical usability and speed over maximum resolution, addressing a gap in current 3D generation tools that often overlook real-world deployment constraints.

$MATIC