InfiniSplat v2 cuts LPIPS by 25.8% in feed-forward 3DGS via frozen geometry branch

zhenjun_zhao · x · 2026-10-21

Researchers present InfiniSplat v2, analyzing why feed-forward Gaussian Splatting degrades under large viewpoint changes and fixing it with a frozen geometry branch decoupled from trainable Gaussian attribute prediction, scale-aligned GT camera supervision, and large-angle target view training. One trained model achieves state-of-the-art mean LPIPS/DISTS across six datasets in both pose-conditioned and pose-free settings, cutting LPIPS by 25.8% and DISTS by 32.9% vs the strongest baselines.

Original post →

More from Research

Research channel →