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Intrinsic Geometry-Appearance Consistency Optimization for Sparse-View Gaussian Splatting
2603.02892 · Takara Example Author, Open Research Collaborator
Abstract
Sparse-view Gaussian splatting often struggles to preserve stable geometry and appearance when supervision is limited. This paper proposes a consistency optimization strategy that jointly regularizes geometry and appearance across views, improving fidelity and reducing artifacts in novel view synthesis.
The method introduces a training objective that encourages cross-view agreement while preserving fine-grained detail in reconstructed scenes.