Abstract: Realizing unified 3D object detection, including both indoor and outdoor scenes, holds great importance in applications like robot navigation. However, involving various scenarios of data to ...
SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
[2024/12] Code release: Inferece, Diffusion sampling, Pretrained model. [2024/10] DifFUSER is presented at ECCV 2024. [2024/07] DifFUSER is accepted by ECCV 2024. This repository contains the official ...
Abstract: 3D object detection from LiDAR point cloud is a challenging task in autonomous driving systems. Collaborative perception can incorporate information from spatially diverse sensors and ...
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