3D Reconstruction
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Benchmarks
DTU
ShapeNet
Data3D−R2N2
Scan2CAD
300W
3DPeople
ApolloCar3D
ScanNet
Most implemented
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
The Double Sphere Camera Model
Occupancy Networks: Learning 3D Reconstruction in Function Space
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo
Papers
Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction
Sparse-view X-ray 3D reconstruction is essential for reducing radiation exposure, but recovering a density field from a handful of X-ray projections is severely ill-posed. Recently, 3D Gaussian Splatting has achieved sta…
3D ReconstructionKODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling
3D reconstruction typically strives for geometric fidelity or visual plausibility. Radio frequency digital twins (RFDT) are instead judged by whether communication channels behave in them as they do in the real world. RF…
3D ReconstructionBLASt3R: Bundle Adjustment of Any Image Set with Multi-View Matching and Monocular Priors
Recent hybrid Structure-from-Motion (SfM) systems combine the robustness of feed-forward 3D reconstruction with the accuracy of traditional bundle adjustment (BA) with pixel matching. They are usually the best performing…
3D ReconstructionHiSfM: Disambiguating Structure-from-Motion via Scaffold-Anchored Hierarchical Reconstruction
Structure-from-Motion (SfM) is a fundamental tool for sparse 3D reconstruction with broad impact in robotics and vision, supporting mapping, localization, and large-scale scene modeling. However, conventional pipelines o…
3D ReconstructionScal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction
Online 3D reconstruction models perform poorly on long videos. This happens because regressing poses relative to a fixed first-frame anchor forces extrapolation far beyond the training distribution. Small drifts accumula…
3D ReconstructionENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation
We present ENEAS, a unified, text-promptable method for instance tracking and semantic discovery. Text-promptable segmentation models, including the latest foundation models such as SAM 3, still suffer from temporal hall…
3D Reconstruction