activity
20242026
most citedFineVQ: Fine-Grained User Generated Content Video Quality Assessment

6 citations · 7 across the 15 of their papers we have counts for

collaborators

16 papers

cs.CV2026

MIEScore: Human-Aligned Evaluation for Multi-Source Image Editing

Zitong Xu, Huiyu Duan, Xinyun Zhang +7

Recent advances in unified multimodal models have significantly improved text-guided image editing abilities. In particular, models such as Nano-Banana-Pro and GPT-Image-2 demonstr…

cs.CV2026

ReasonEdit: Towards Interpretable Image Editing Evaluation via Reinforcement Learning

Honghua Chen, Zitong Xu, Huiyu Duan +3

Recent text-guided image editing (TIE) models have achieved remarkable progress, however, many edited results still suffer from artifacts, unintended modifications, and suboptimal…

cs.CV2026

EditRefiner: A Human-Aligned Agentic Framework for Image Editing Refinement

Zitong Xu, Huiyu Duan, Yifei Nie +9

Recent text-guided image editing (TIE) models have made remarkable progress, yet edited images still frequently suffer from fine-grained issues such as unnatural objects, lighting…

cs.CV2026

ITIScore: An Image-to-Text-to-Image Rating Framework for the Image Captioning Ability of MLLMs

Zitong Xu, Huiyu Duan, Shengyao Qin +6

Recent advances in multimodal large language models (MLLMs) have greatly improved image understanding and captioning capabilities. However, existing image captioning benchmarks typ…

cs.CV2026

Evaluating Image Editing with LLMs: A Comprehensive Benchmark and Intermediate-Layer Probing Approach

Shiqi Gao, Zitong Xu, Kang Fu +3

Evaluating text-guided image editing (TIE) methods remains a challenging problem, as reliable assessment should simultaneously consider perceptual quality, alignment with textual i…

cs.CV2026

Preference-Guided Debiasing for No-Reference Enhancement Image Quality Assessment

Shiqi Gao, Kang Fu, Zitong Xu +4

Current no-reference image quality assessment (NR-IQA) models for enhanced images often struggle to generalize, as they tend to overfit to the distinct patterns of specific enhance…

cs.CV2026

EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image Editing

Zitong Xu, Huiyu Duan, Zhongpeng Ji +9

Recent text-guided image editing (TIE) models have achieved remarkable progress, while many edited images still suffer from issues such as artifacts, unexpected editings, unaesthet…

cs.CV2026

Fine-Grained Human Pose Editing Assessment via Layer-Selective MLLMs

Ningyu Sun, Zhaolin Cai, Zitong Xu +5

Text-guided human pose editing has gained significant traction in AIGC applications. However,it remains plagued by structural anomalies and generative artifacts. Existing evaluatio…

cs.CV2026

VTONQA: A Multi-Dimensional Quality Assessment Dataset for Virtual Try-on

Xinyi Wei, Sijing Wu, Zitong Xu +4

With the rapid development of e-commerce and digital fashion, image-based virtual try-on (VTON) has attracted increasing attention. However, existing VTON models often suffer from…

cs.CV2025

Generative Human-Object Interaction Detection via Differentiable Cognitive Steering of Multi-modal LLMs

Zhaolin Cai, Huiyu Duan, Zitong Xu +6

Human-object interaction (HOI) detection aims to localize human-object pairs and the interactions between them. Existing methods operate under a closed-world assumption, treating t…

cs.CV2025

MagicWand: A Universal Agent for Generation and Evaluation Aligned with User Preference

Zitong Xu, Dake Shen, Yaosong Du +3

Recent advances in AIGC (Artificial Intelligence Generated Content) models have enabled significant progress in image and video generation. However, users still struggle to obtain…

cs.CV2025

ManipShield: A Unified Framework for Image Manipulation Detection, Localization and Explanation

Zitong Xu, Huiyu Duan, Xiaoyu Wang +6

With the rapid advancement of generative models, powerful image editing methods now enable diverse and highly realistic image manipulations that far surpass traditional deepfake te…

cs.CV2025

LMM4Edit: Benchmarking and Evaluating Multimodal Image Editing with LMMs

Zitong Xu, Huiyu Duan, Bingnan Liu +9

The rapid advancement of Text-guided Image Editing (TIE) enables image modifications through text prompts. However, current TIE models still struggle to balance image quality, edit…

cs.CV2025

Omni: Unifying Omnidirectional Image Generation and Editing in an Omni Model

Liu Yang, Huiyu Duan, Yucheng Zhu +7

omnidirectional images (ODIs) have gained considerable attention recently, and are widely used in various virtual reality (VR) and augmented reality (AR) applications…

cs.CV2025★ 1 cited

HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment

Zitong Xu, Huiyu Duan, Guangji Ma +6

Image composition involves extracting a foreground object from one image and pasting it into another image through Image harmonization algorithms (IHAs), which aim to adjust the ap…

cs.CV2024★ 6 cited

FineVQ: Fine-Grained User Generated Content Video Quality Assessment

Huiyu Duan, Qiang Hu, Jiarui Wang +8

The rapid growth of user-generated content (UGC) videos has produced an urgent need for effective video quality assessment (VQA) algorithms to monitor video quality and guide optim…