Point Clouds
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Benchmarks
Tanks and Temples
DTU
Most implemented
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo
MVSNet: Depth Inference for Unstructured Multi-view Stereo
FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations
Papers
3DROID: A Renderable 3D Gaussian Dataset with Measured Per-Scene Reliability
Robot manipulation models primarily reason from 2D observations while acting in the 3D physical world. To bridge this gap, recent work has augmented robot data with geometric priors such as depth, point clouds, and 3D tr…
Robot ManipulationPoint CloudsFAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations
Modeling articulated objects from sparse monocular views is challenging because each observation reveals only partial geometry and motion evidence. Most feed-forward methods infer articulation from a single observation a…
Point CloudsSSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion
This paper investigates easy strategies to boost the performance of existing networks for lidar semantic scene completion (SSC) without requiring complex architectural redesigns. The fact is that, over the last years, SS…
Semantic SegmentationPoint CloudsCAD-Based Relation Learning and Geometric-Symbolic Planning for Robotic Assembly
Assembly Sequence Planning (ASP) remains a challenging problem due to its combinatorial nature, making exhaustive planning approaches impractical for complex industrial assemblies. Furthermore, many CAD models lack relia…
Relation ExtractionPoint CloudsMedPCFM-TED: One-Step Point Cloud Flow Matching for Implant Generation via Teacher-Guided Endpoint Distillation
Cranial implant generation is an important task in medical imaging. Recent point cloud based generative methods, particularly flow matching, offer strong reconstruction quality and efficient sampling, but still require m…
Geometric MatchingPoint CloudsCoAdapt: An LLM-based Framework for Adaptive Collaborative Perception in IIoT Robotic Swarms
Industrial IoT environments increasingly deploy autonomous mobile robots for tasks such as material handling, product assembly, or infrastructure inspection. In such deployments, collaborative perception enables robots t…
Point Clouds