Sphinx: Efficiently Serving Novel View Synthesis using Regression-Guided Selective Refinement
Sphinx is a training-free system for Novel View Synthesis that combines fast regression models with high-quality diffusion models. It uses regression for quick, coarse initial views and then selectively applies diffusion refinement only where needed. This hybrid approach achieves significant speedups while maintaining high visual quality, establishing a new balance between efficiency and fidelity.