collaborators

8 papers

cs.CV2026

HDRAgent: An Agentic Framework for Multi-Exposure HDR Imaging

Weiyu Zhou, Tao Hu, Yijian Wang +3

Most existing multi-exposure HDR methods follow a fixed feed-forward reconstruction paradigm, making them prone to ghosting artifacts in complex dynamic scenes. To address this iss…

cs.CV2026

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration

Yanjie Tu, Qingsen Yan, Axi Niu +1

All-in-one image restoration aims to address diverse degradation types using a single unified model. Existing methods typically rely on degradation priors to guide restoration, yet…

cs.CV2026

TRIO: Token Reduction via Inference-Objective Guidance for Efficient Vision-Language Models

Haokui Zhang, Congyang Ou, Dawei Yan +5

Recently, reducing redundant visual tokens in vision-language models (VLMs) to accelerate VLM inference has emerged as a hot topic. However, most existing methods rely on heuristic…

cs.LG2026

Scouting By Reward: VLM-TO-IRL-Driven Player Selection For Esports

Qing Yan, Wenyu Yang, Yufei Wang +4

Traditional esports scouting workflows rely heavily on manual video review and aggregate performance metrics, which often fail to capture the nuanced decision-making patterns neces…

cs.CV2026

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)

Guanyi Qin, Jie Liang, Bingbing Zhang +50

In this paper, we present an overview of the NTIRE 2026 challenge on the 3rd Restore Any Image Model in the Wild, specifically focusing on Track 1: Professional Image Quality Asses…

cs.CV2026

Redefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment

Xinjie Zhang, Qiang Li, Xiaowen Ma +3

Recent advances in image editing have heightened the need for reliable Image Editing Quality Assessment (IEQA). Unlike traditional methods, IEQA requires complex reasoning over mul…