5 papers · 1 filter
PointSlice: Accurate and Efficient Slice-Based Representation for 3D Object Detection from Point Clouds
Liu Qifeng, Zhao Dawei, Dong Yabo +7
3D object detection from point clouds plays a critical role in autonomous driving. Currently, the primary methods for point cloud processing are voxel-based and pillar-based approa…
GenDet: Painting Colored Bounding Boxes on Images via Diffusion Model for Object Detection
Chen Min, Chengyang Li, Fanjie Kong +3
This paper presents GenDet, a novel framework that redefines object detection as an image generation task. In contrast to traditional approaches, GenDet adopts a pioneering approac…
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond
Zheng Zhu, Xiaofeng Wang, Wangbo Zhao +15
General world models represent a crucial pathway toward achieving Artificial General Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual en…
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
Chen Min, Dawei Zhao, Liang Xiao +10
Vision-centric autonomous driving has recently raised wide attention due to its lower cost. Pre-training is essential for extracting a universal representation. However, current vi…
UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving
Chen Min, Liang Xiao, Dawei Zhao +2
Multi-camera 3D perception has emerged as a prominent research field in autonomous driving, offering a viable and cost-effective alternative to LiDAR-based solutions. The existing…