most citedSVGen: Interpretable Vector Graphics Generation with Large Language Models

4 citations · 5 across the 12 of their papers we have counts for

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6 papers · 1 filter

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

Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing

Bingyu Li, Haocheng Dong, Da Zhang +3

Open-Vocabulary Remote Sensing Image Segmentation (OVRSIS), an emerging task that adapts Open-Vocabulary Segmentation (OVS) to the remote sensing (RS) domain, remains underexplored…

cs.CV2025★ 1 cited

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…