Research map / 3D vision / 3D generation
FoundSurface: Feedforward Ray-Based 3D Scene Surface Reconstruction from Unposed Images
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Proposes FoundSurface, a feed-forward pipeline that recovers continuous 3D surfaces from unposed images by combining pointmap-based and ray-based representations.
Problem
Recovering accurate, continuous 3D surfaces from unposed images; existing feed-forward pointmap methods need no camera poses but produce discrete, sparse outputs.
Approach
Integrates pointmap-based and ray-based representations in a single generalizable feed-forward pipeline so that continuous, high-fidelity surfaces are obtained directly from unposed images without per-scene optimization.
Closest papers by meaning
- World Tracing: Pixel-Aligned Geometry Beyond the Visible (NeurIPS 2026 · similarity 0.88)
- SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images (CVPR 2025 · similarity 0.88)
- UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections (NeurIPS 2024 · similarity 0.88)
- RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion (NeurIPS 2025 · similarity 0.87)
- GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction (NeurIPS 2025 · similarity 0.87)
- SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction (NeurIPS 2025 · similarity 0.87)
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