collaborators

7 papers

cs.CV2026

CLUIE: Clustering-Aware Recurrent Propagation with Local Structural Compensation for Underwater Image Enhancement

Kui Jiang, Zefan Feng, Laibin Chang +3

Underwater image enhancement remains challenging due to wavelength-dependent light absorption, scattering, and backscattering, which jointly cause color distortion, contrast degrad…

cs.CV2026

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Shuhong Liu, Chenyu Bao, Ziteng Cui +103

This paper presents a comprehensive review of the NTIRE 2026 3D Restoration and Reconstruction (3DRR) Challenge, detailing the proposed methods and results. The challenge seeks to…

cs.CV2026

GAP-MLLM: Geometry-Aligned Pre-training for Activating 3D Spatial Perception in Multimodal Large Language Models

Jiaxin Zhang, Junjun Jiang, Haijie Li +3

Multimodal Large Language Models (MLLMs) demonstrate exceptional semantic reasoning but struggle with 3D spatial perception when restricted to pure RGB inputs. Despite leveraging i…

cs.CV2025

VRS-UIE: Value-Driven Reordering Scanning for Underwater Image Enhancement

Kui Jiang, Yan Luo, Junjun Jiang +3

State Space Models (SSMs) have emerged as a promising backbone for vision tasks due to their linear complexity and global receptive field. However, in the context of Underwater Ima…

cs.CV2025

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces

Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano +36

This paper reports on the NTIRE 2025 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhanc…

cs.CV2025

Always Clear Depth: Robust Monocular Depth Estimation under Adverse Weather

Kui Jiang, Jing Cao, Zhaocheng Yu +2

Monocular depth estimation is critical for applications such as autonomous driving and scene reconstruction. While existing methods perform well under normal scenarios, their perfo…