EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis

Figure 1. Illustration. Left: Existing feed-forward 3DGS methods (e.g., MVSplat) predict per-pixel Gaussians with local cost volumes. When accumulating Gaussians from multiple local volumes in global coordinates, we observe inconsistencies in the accumulated Gaussians (e.g. car in the figure), leading to ghost artifacts in the rendering. In contrast, EVolSplat predicts 3DGS using a global volume, improving consistency and rendering quality. Right: Our method achieves real-time rendering while maintaining high NVS rendering quality on novel street scenes with lower memory consumption. The circle size indicates memory consumption during inference.