SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Understand

3D Gaussian Splatting (3DGS) has recently enabled real-time rendering of unbounded 3D scenes for novel view synthesis.

• However, this technique requires dense training views to accurately reconstruct 3D geometry.
• A limited number of input views will significantly degrade reconstruction quality, resulting in artifacts such as "floaters" and "background collapse" at unseen viewpoints.
• In this work, we introduce SparseGS, an efficient training pipeline designed to address the limitations of 3DGS in scenarios with sparse training views.