3D Gaussian Splatting for Real-Time Radiance Field Rendering

Replaced neural MLP queries in radiance fields with 3D Gaussian primitives rasterized using a fast GPU tile-based sorting algorithm, delivering real-time 100+ FPS rendering.

Directly guides architectural decisions, alignment strategy, and serving infrastructure for task-3d-reconstruction.

Assumptions

• Empirical distribution regularity holds and target domain adheres to pretraining linguistic/visual support

Limitations

• Resource scaling, inference memory requirements, and alignment robustness vary with model size and hardware topology