RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
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Abstract (arXiv)
3D shape completion has broad applications in robotics, digital twin reconstruction, and extended reality (XR). Although recent advances in 3D object and scene completion have achieved impressive results, existing methods lack 3D consistency, are computationally expensive, and struggle to capture sharp object boundaries. Our work (RaySt3R) addresses these limitations by recasting 3D shape completion as a novel view synthesis problem. Specifically, given a single RGB-D image and a novel viewpoint (encoded as a collection of query rays), we train a feedforward transformer to predict depth maps, object masks, and per-pixel confidence scores for those query rays. RaySt3R fuses these predictions across multiple query views to reconstruct complete 3D shapes. We evaluate RaySt3R on synthetic and real-world datasets, and observe it achieves state-of-the-art performance, outperforming the baselines on all datasets by up to 44% in 3D chamfer distance. Project page: https://rayst3r.github.io
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 49 of its 56 references that are in the map. First posted on arXiv 5 Jun 2025.
Builds on
49 of 56 references.
References · 49
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37 more
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- 2023VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completioncited by 313
- 2024LVSM: A Large View Synthesis Model with Minimal 3D Inductive Biascited by 189
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- 2020Anisotropic Convolutional Networks for 3D Semantic Scene Completioncited by 127
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Built on by
Citing papers per year: 2025: 2; 2026: 3.
5 papers.
- 2025MapAnything: Universal Feed-Forward Metric 3D Reconstructioncited by 314
- 2026PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulationcited by 82
- 2025Any4D: Unified Feed-Forward Metric 4D Reconstructioncited by 35
- 2026Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priorscited by 4
- 2026GATOR: Generative and Agentic 3D Object Reconstruction From Casual Imagescited by 0
- 2026GATOR: Generative and Agentic 3D Object Reconstruction From Casual Images8 Oct 2026
- 2026Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors19 Mar 2026
- 2026PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation7 Jan 2026
- 2025Any4D: Unified Feed-Forward Metric 4D Reconstruction11 Dec 2025
- 2025MapAnything: Universal Feed-Forward Metric 3D Reconstruction16 Sep 2025