Cover Image

EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Lancheng, Jia, Ziheng, Xing, Zixuan, Sun, Wei, Duan, Huiyu, Zhai, Guangtao, Min, Xiongkuo
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EEmo-Bench: A Benchmark for Multi-modal Large Language Models on Image Evoked Emotion Assessment
by: Gao, Lancheng, et al.
Published: (2025)

Quality Assessment for AI Generated Images with Instruction Tuning
by: Wang, Jiarui, et al.
Published: (2024)

TIT-Score: Evaluating Long-Prompt Based Text-to-Image Alignment via Text-to-Image-to-Text Consistency
by: Wang, Juntong, et al.
Published: (2025)

UniProcessor: A Text-induced Unified Low-level Image Processor
by: Duan, Huiyu, et al.
Published: (2024)

Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and Model
by: Fu, Kang, et al.
Published: (2025)

Perceptual Video Quality Assessment: A Survey
by: Min, Xiongkuo, et al.
Published: (2024)

How is Visual Attention Influenced by Text Guidance? Database and Model
by: Sun, Yinan, et al.
Published: (2024)

Preference-Guided Debiasing for No-Reference Enhancement Image Quality Assessment
by: Gao, Shiqi, et al.
Published: (2026)

VTONQA: A Multi-Dimensional Quality Assessment Dataset for Virtual Try-on
by: Wei, Xinyi, et al.
Published: (2026)

I2I-Bench: A Comprehensive Benchmark Suite for Image-to-Image Editing Models
by: Wang, Juntong, et al.
Published: (2025)

Exploring Image Quality Assessment from a New Perspective: Pupil Size
by: Gao, Yixuan, et al.
Published: (2025)

Towards Explainable Partial-AIGC Image Quality Assessment
by: Qian, Jiaying, et al.
Published: (2025)

DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models
by: Wang, Juntong, et al.
Published: (2026)

ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images
by: Zhu, Xilei, et al.
Published: (2024)

UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content
by: Cao, Yuqin, et al.
Published: (2024)

Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
by: Jia, Ziheng, et al.
Published: (2025)

Enhancing Image Quality Assessment Ability of LMMs via Retrieval-Augmented Generation
by: Fu, Kang, et al.
Published: (2026)

SFQA: A Comprehensive Perceptual Quality Assessment Dataset for Singing Face Generation
by: Gao, Zhilin, et al.
Published: (2026)

ManipShield: A Unified Framework for Image Manipulation Detection, Localization and Explanation
by: Xu, Zitong, et al.
Published: (2025)

LM Fight Arena: Benchmarking Large Multimodal Models via Game Competition
by: Zheng, Yushuo, et al.
Published: (2025)

AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM
by: Wang, Jiarui, et al.
Published: (2024)

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs
by: Wang, Juntong, et al.
Published: (2025)

ReasonEdit: Towards Interpretable Image Editing Evaluation via Reinforcement Learning
by: Chen, Honghua, et al.
Published: (2026)

LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs
by: Wang, Jiarui, et al.
Published: (2025)

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images
by: Li, Yunhao, et al.
Published: (2025)

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images
by: Yang, Liu, et al.
Published: (2025)

Evaluating Image Editing with LLMs: A Comprehensive Benchmark and Intermediate-Layer Probing Approach
by: Gao, Shiqi, et al.
Published: (2026)

ESVQA: Perceptual Quality Assessment of Egocentric Spatial Videos
by: Zhu, Xilei, et al.
Published: (2024)

Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model
by: Zhang, Zhichao, et al.
Published: (2024)

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models
by: Wang, Jiarui, et al.
Published: (2025)

Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition
by: Zheng, Yushuo, et al.
Published: (2026)

Q-Bench-Portrait: Benchmarking Multimodal Large Language Models on Portrait Image Quality Perception
by: Wu, Sijing, et al.
Published: (2026)

AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment
by: Cao, Yuqin, et al.
Published: (2025)

DocIQ: A Benchmark Dataset and Feature Fusion Network for Document Image Quality Assessment
by: Ma, Zhichao, et al.
Published: (2025)

ITIScore: An Image-to-Text-to-Image Rating Framework for the Image Captioning Ability of MLLMs
by: Xu, Zitong, et al.
Published: (2026)

Large Multi-modality Model Assisted AI-Generated Image Quality Assessment
by: Wang, Puyi, et al.
Published: (2024)

AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images
by: Yang, Liu, et al.
Published: (2024)

HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment
by: Xu, Zitong, et al.
Published: (2025)

VideoAesBench: Benchmarking the Video Aesthetics Perception Capabilities of Large Multimodal Models
by: Li, Yunhao, et al.
Published: (2026)

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
by: Huiyu Duan, et al.
Published: (2025)