Point Clouds - Edgentiq

TrueCity: A New Benchmark Dataset for Understanding 3D Urban Scenes with Real and Simulated Data

Advanced LiDAR System Enhances Urban 3D Change Detection for Smart City Maps

Boosting 3D Semantic Segmentation with Smart Label Refinement

SIMECO: A New Approach to 3D Shape Completion That Learns Intrinsic Geometry

Generating Detailed 3D Forest Maps from the Sky: Introducing ForestGen3D

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Automating 3D Design: GenCAD-3D Generates Editable CAD Programs from Scans

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Enhancing Robotic Grasp Learning Through Point-JEPA Pretraining

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Optimizing AI Efficiency with Differentiable Entropy Regularization

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Uncovering Outliers: A Mamba-Based Approach for 3D Scene Anomaly Detection

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QuickGrasp: A Fast and Reliable Approach to Robotic Grasp Planning

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Solving the Puzzle of Geometric Shape Assembly with Combinative Matching

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RayletDF: A New Approach to Generalizable 3D Surface Reconstruction

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NeuroVoxel-LM: Enhancing 3D Scene Understanding with Adaptive Voxelization and Smart Embeddings

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Bridging the Data Gap for Spatial AI with 2D-to-3D Conversion

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TriCLIP-3D: A Unified Framework for 3D Visual Grounding with Enhanced Efficiency

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Enhancing 3D Scene Understanding for AI with Multiview Images: Introducing Argus

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CL3R: A New Framework for Smarter Robotic Manipulation Through 3D Understanding

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Gen AI News and Updates

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TrueCity: A New Benchmark Dataset for Understanding 3D Urban Scenes with Real and Simulated Data

November 11, 2025

Advanced LiDAR System Enhances Urban 3D Change Detection for Smart City Maps

October 27, 2025

Boosting 3D Semantic Segmentation with Smart Label Refinement

October 23, 2025