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cs.CV2026

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing

Yanbin Huang, Yisen Li, Guiyao Tie +6

Large vision-language models (LVLMs) frequently suffer from Object Hallucination (OH), wherein they generate descriptions containing objects that are not actually present in the in…

cs.CV2026

Boosting Robust AIGI Detection with LoRA-based Pairwise Training

Ruiyang Xia, Qi Zhang, Yaowen Xu +4

The proliferation of highly realistic AI-Generated Image (AIGI) has necessitated the development of practical detection methods. While current AIGI detectors perform admirably on c…

cs.CV2026

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild

Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya +51

This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal o…

cs.CV2026

Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Zile Wang, Zexiang Liu, Jiaxing Li +20

With the advancement of interactive video generation, diffusion models have increasingly demonstrated their potential as world models. However, existing approaches still struggle t…

cs.CV2025

Infinite Video Understanding

Dell Zhang, Xiangyu Chen, Jixiang Luo +6

The rapid advancements in Large Language Models (LLMs) and their multimodal extensions (MLLMs) have ushered in remarkable progress in video understanding. However, a fundamental ch…