collaborators

5 papers

cs.CV2026

The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +89

This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse real-wo…

cs.CV2026

V-Bridge: Bridging Video Generative Priors to Versatile Few-shot Image Restoration

Shenghe Zheng, Junpeng Jiang, Wenbo Li

Large-scale video generative models are trained on vast and diverse visual data, enabling them to internalize rich structural, semantic, and dynamic priors of the visual world. Whi…

cs.CV2025

CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving

Enhui Ma, Lijun Zhou, Tao Tang +11

End-to-end planning methods are the de facto standard of the current autonomous driving system, while the robustness of the data-driven approaches suffers due to the notorious long…

cs.CV2025

PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth

Bu Jin, Weize Li, Baihan Yang +9

Recent advancements in autonomous driving (AD) systems have highlighted the potential of world models in achieving robust and generalizable performance across both ordinary and cha…

cs.CV2025

DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer

Junpeng Jiang, Gangyi Hong, Miao Zhang +4

Collecting multi-view driving scenario videos to enhance the performance of 3D visual perception tasks presents significant challenges and incurs substantial costs, making generati…