#gaussian-splatting3 articles

3 articles

AIBullisharXiv – CS AI · 4h ago5

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DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer

Researchers introduce DiffusionHarmonizer, an AI framework that enhances neural reconstruction simulations for autonomous robots by converting multi-step image diffusion models into single-step enhancers. The system addresses artifacts in NeRF and 3D Gaussian Splatting methods while improving realism for applications like self-driving vehicle simulation.

AIBullisharXiv – CS AI · 4h ago3

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MEGS$^{2}$: Memory-Efficient Gaussian Splatting via Spherical Gaussians and Unified Pruning

Researchers introduce MEGS², a new memory-efficient framework for 3D Gaussian Splatting that reduces memory consumption by 50% for static rendering and 40% for real-time rendering. The breakthrough enables 3D rendering on edge devices by replacing memory-intensive spherical harmonics with lightweight spherical Gaussian lobes and implementing unified pruning optimization.

AINeutralarXiv – CS AI · 4h ago0

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Uncertainty Matters in Dynamic Gaussian Splatting for Monocular 4D Reconstruction

Researchers introduce USplat4D, a new uncertainty-aware dynamic Gaussian Splatting framework that improves 3D scene reconstruction from monocular video by modeling per-Gaussian uncertainty. The approach addresses motion drift and poor synthesis quality by treating well-observed Gaussians as reliable anchors while handling poorly observed ones as less reliable.