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GSPotential: Camera Potential Field for Sparse-View 3D Gaussian Splatting
3D Gaussian Splatting has achieved remarkable success in photorealistic rendering, yet it suffers from severe overfitting and geometric artifacts in sparse-view scenarios due to the inherent deficiency of photometric supervision. Recent advances have attempted to regularize optimization by incorporating external priors, such as depth, point clouds, or diffusion models. However, these methods typically overlook the non-uniform distribution of supervision across the viewing space, resulting in limited specificity in prior use and primitive control. In this paper, we propose GSPotential, a framew
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- arXiv · AI, language, vision and robotics · 2026-08-29T16:03:28.000Z
First collected: 2026-09-21T07:51:58.603Z. This is not the publication date.