ArtifactWorld: Scaling 3D Gaussian Splatting Artifact Restoration via Video Generation Models
3D Gaussian Splatting (3DGS) delivers high-fidelity real-time rendering but suffers from geometric and photometric degradations under sparse-view constraints. Current generative restoration approaches are often limited by insufficient temporal coherence, a lack of explicit spatial constraints, and a lack of large-scale training data, resulting in multi-view inconsistencies, erroneous geometric hallucinations, and limited generalization to diverse real-world artifact distributions. In this paper, we present ArtifactWorld, a framework that resolves 3DGS artifact repair through systematic data expansion and a homogeneous dual-model paradigm. To address the data bottleneck, we establish a fin...
| Authors | Xinliang Wang, Yifeng Shi, Zhenyu Wu |
|---|---|
| Primary category | cs.CV |
| Published | 14 April 2026 |
| Last updated at source | 29 September 2026 |
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