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
BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation
Papers
Mitigating Performance Discrepancy in Cross-Domain 3D Class-Incremental Learning
3D perception plays a crucial role in real-world applications such as autonomous driving, robotics, and AR/VR. In practical scenarios, 3D perception models need to continually adapt to newly emerging 3D object categories…
class-incremental learningAutonomous DrivingPoint CloudsDressing in Motion: A Human Motion-Aware Diffusion Policy for Robot-Assisted Dressing
Robotic dressing assistance is a promising solution for supporting older adults with physical impairments in daily living. However, dressing under human motion remains challenging, as complex garment--human contact and o…
Point CloudsSeqAlign3DVG: A Sequence-Aligned Benchmark and Voxel Reasoning Framework for 3D Visual Grounding
Image-based 3D visual grounding is critical for embodied agents, yet existing benchmarks suffer from loose text-observation alignment and neglect temporal ordering. We introduce SeqAlign3DVG, a novel benchmark dedicated …
Visual GroundingPoint CloudsCedarCypress3D: an annotated UAV-LiDAR dataset of individual trees in planted cedar and cypress forests
Individual tree measurements derived from Light Detection and Ranging (LiDAR) mounted on Unmanned Aerial Vehicles (UAV) provide valuable information for forest inventory, ecosystem monitoring, and sustainable forest mana…
Instance SegmentationSemantic SegmentationPoint CloudsDenoising-Aware Temporal Point Cloud Completion for 3D Crop Architecture Recovery and Phenotypic Trait Extraction
High-throughput phenotyping depends on accurate 3D reconstruction of plants across growth stages, yet the development and evaluation of temporal completion methods are limited by the lack of datasets with complete geomet…
Point Cloud Completion3D ReconstructionPoint CloudsBeyond Pairwise Graphs in Science: Hypergraph Adaptive Wavelet Operators for Parametric PDEs
Physical systems are often modeled by solution operators that map input fields, parameters, geometries, or past states to steady or future physical states. Learning these maps is difficult, especially for time-dependent …
Point Clouds