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studentSplat: Your Student Model Learns Single-view 3D Gaussian Splatting

arXiv 2601.11772 ↗First posted 16 Jan 2026cs.CVcited by 0

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Abstract (arXiv)

Recent advance in feed-forward 3D Gaussian splatting has enable remarkable multi-view 3D scene reconstruction or single-view 3D object reconstruction but single-view 3D scene reconstruction remain under-explored due to inherited ambiguity in single-view. We present studentSplat, a single-view 3D Gaussian splatting method for scene reconstruction. To overcome the scale ambiguity and extrapolation problems inherent in novel-view supervision from a single input, we introduce two techniques: 1) a teacher-student architecture where a multi-view teacher model provides geometric supervision to the single-view student during training, addressing scale ambiguity and encourage geometric validity; and 2) an extrapolation network that completes missing scene context, enabling high-quality extrapolation. Extensive experiments show studentSplat achieves state-of-the-art single-view novel-view reconstruction quality and comparable performance to multi-view methods at the scene level. Furthermore, studentSplat demonstrates competitive performance as a self-supervised single-view depth estimation method, highlighting its potential for general single-view 3D understanding tasks.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 53 of its 70 references that are in the map. First posted on arXiv 16 Jan 2026.

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53 of 70 references.

References · 53

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38 more
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