[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
-
Updated
Jul 31, 2024 - Python
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
An extension of Open3D to address 3D Machine Learning tasks
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
RealSee3D: A multi-view RGB-D dataset combining real-world captures and procedurally generated scenes, with extensible annotations for diverse 3D vision research.
[IROS2024] SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
[CVPR 2024] Symphonies (Scene-from-Insts): Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
[CVPR 2026] Official code of "EmbodiedSplat: Online Feed-Forward Semantic 3DGS for Open-Vocabulary 3D Scene Understanding"
Implementation of Open-World Visual Odometry with Temporal Dynamics Awareness (CVPR'26)
[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
A unified framework for 3D Occupancy Prediction
[ICCV 2025] ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction
[ECCV 2024] RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection
[ECCV 2024] Official implementation for "RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception"
[ICRA 2024] SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net
Official implementation of "TransNormal: Dense Visual Semantics for Diffusion-based Transparent Object Normal Estimation" (ICML 2026). Single-step diffusion model for accurate surface normal prediction of transparent objects.
Real-Time Spatio-Semantic Memory
This repository contains sensor fusion between a lidar and camera, semantic segmentation on point clouds and ICP registration of multiple point clouds.
To associate your repository with the 3d-perception topic, visit your repo's landing page and select "manage topics."