4 papers
Metric Depth Estimation from Arbitrarily Degraded Low-Resolution Depth Prompts
Kun Wang, Yun Zhu, Pan Zhou +1
We propose AdaDS, an Adaptive Diffusion Sampling framework for prompted metric depth estimation, which estimates high-resolution metric depth from an image and an arbitrarily degra…
WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion
Yang Wu, Yun Zhu, Kaihua Zhang +3
3D scene perception demands a large amount of adverse-weather LiDAR data, yet the cost of LiDAR data collection presents a significant scaling-up challenge. To this end, a series o…
Learning Class Prototypes for Unified Sparse Supervised 3D Object Detection
Yun Zhu, Le Hui, Hang Yang +3
Both indoor and outdoor scene perceptions are essential for embodied intelligence. However, current sparse supervised 3D object detection methods focus solely on outdoor scenes wit…
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
Yun Zhu, Le Hui, Yaqi Shen +1
Current 3D object detection methods for indoor scenes mainly follow the voting-and-grouping strategy to generate proposals. However, most methods utilize instance-agnostic grouping…