3 papers
cs.CV2026
Robust Depth Super-Resolution via Adaptive Diffusion Sampling
Kun Wang, Yun Zhu, Pan Zhou +1
We propose AdaDS, a generalizable framework for depth super-resolution that robustly recovers high-resolution depth maps from arbitrarily degraded low-resolution inputs. Unlike con…
cs.CV2025
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…
cs.CV2025
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…