21 skills found
haomo-ai / Cam4DOcc[CVPR 2024] Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
tarashakhurana / 4d Occ ForecastingCVPR 2023: Official code for `Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting'
3DTopia / DynamicCity[ICLR 2025 Spotlight] Official implementation for "DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes"
autonomousvision / Occupancy FlowThis repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"
wzzheng / OccSoraOccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving
ai4ce / Occ4castOcc4cast: LiDAR-based 4D Occupancy Completion and Forecasting
yuyang-cloud / Drive OccWorld[AAAI 2025] Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
OrangeSodahub / ORV[CVPR 2026] ORV: 4D Occupancy-centric Robot Video Generation.
Toytiny / RadarOcc[NeurIPS 2024] RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
Huster-YZY / GenieDrive[CVPR 2026] "GenieDrive: Towards Physics-Aware Driving World Model with 4D Occupancy Guided Video Generation"
MSunDYY / SparseOccVLASparseOccVLA: Bridging Occupancy and Vision-Language Models via Sparse Queries for Unified 4D Scene Understanding and Planning
JLChen-C / OccProphet[ICLR 2025] OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner Framework
Tsinghua-MARS-Lab / TrackOcc[ICRA 2025] Official implementation for "TrackOcc: Camera-based 4D Panoptic Occupancy Tracking"
MSunDYY / SparseWorld[AAAI 2026] SparseWorld: A Flexible, Adaptive, and Efficient 4D Occupancy World Model Powered by Sparse and Dynamic Queries
SCEIRobotics / L3ROccL3ROcc is a high-performance visual geometry framework designed to transform standard RGB video sequences into high-precision 3D Point Clouds, 3D Occupancy Grids, and 4D Temporal Observation Data.
LucasYang567 / MetaOccMetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies
TJRadarLab / Doracamom[TCSVT 2026] Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception
CLASS-Lab / 4D ROLLS4D-ROLLS: 4D Radar Occupancy Learning via Lidar Supervision
InSAI-Lab / OccSTePOccSTeP: Benchmarking 4D Occupancy Spatio-Temporal Persistence
princeton-vl / BinocMesherWe propose a temporally coherent method for extracting meshes suitable for long-range camera trajectories in unbounded scenes represented by an occupancy function. The key idea is to perform 4D mesh extraction using a new spacetime tree structure called the binary-octree, from which 3D meshes are sliced.
