Cover Image

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Keming, Jiang, Sicong, Ku, Max, Nie, Ping, Liu, Minghao, Chen, Wenhu
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modeling
by: Bai, Xuehai, et al.
Published: (2026)

MANTIS: Interleaved Multi-Image Instruction Tuning
by: Jiang, Dongfu, et al.
Published: (2024)

HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing
by: Bai, Jinbin, et al.
Published: (2024)

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
by: Zhang, Kai, et al.
Published: (2023)

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models
by: Jiang, Songtao, et al.
Published: (2025)

EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling
by: Luo, Xin, et al.
Published: (2025)

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
by: Ku, Max, et al.
Published: (2023)

EditRefiner: A Human-Aligned Agentic Framework for Image Editing Refinement
by: Xu, Zitong, et al.
Published: (2026)

Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image
by: Hu, Yushi, et al.
Published: (2025)

Multi-Reward as Condition for Instruction-based Image Editing
by: Gu, Xin, et al.
Published: (2024)

WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors
by: Wu, Keming, et al.
Published: (2026)

VIVA: VLM-Guided Instruction-Based Video Editing with Reward Optimization
by: Cong, Xiaoyan, et al.
Published: (2025)

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
by: Zhang, Yi-Fan, et al.
Published: (2025)

RewardHarness: Self-Evolving Agentic Post-Training
by: Zhang, Yuxuan, et al.
Published: (2026)

Leveraging LLMs for On-the-Fly Instruction Guided Image Editing
by: Santos, Rodrigo, et al.
Published: (2024)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
by: Li, Lei, et al.
Published: (2024)

InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
by: Zang, Yuhang, et al.
Published: (2025)

Reward Guided Latent Consistency Distillation
by: Li, Jiachen, et al.
Published: (2024)

DocReward: A Document Reward Model for Structuring and Stylizing
by: Liu, Junpeng, et al.
Published: (2025)

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search
by: Jia, Yiming, et al.
Published: (2025)

Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis
by: Liu, Runzhou, et al.
Published: (2026)

SeedEdit: Align Image Re-Generation to Image Editing
by: Shi, Yichun, et al.
Published: (2024)

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
by: Baraldi, Lorenzo, et al.
Published: (2025)

Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)

MotionEdit: Benchmarking and Learning Motion-Centric Image Editing
by: Wan, Yixin, et al.
Published: (2025)

Video-Based Reward Modeling for Computer-Use Agents
by: Song, Linxin, et al.
Published: (2026)

The Mind's Eye: A Multi-Faceted Reward Framework for Guiding Visual Metaphor Generation
by: Koushik, Girish A., et al.
Published: (2025)

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing
by: Xiao, Yicheng, et al.
Published: (2026)

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
by: Zhou, Shijie, et al.
Published: (2025)

Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
by: Chen, Qizhou, et al.
Published: (2024)

InstructEdit: Instruction-based Knowledge Editing for Large Language Models
by: Zhang, Ningyu, et al.
Published: (2024)

UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
by: Zhao, Haozhe, et al.
Published: (2024)

OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision
by: Wei, Cong, et al.
Published: (2024)

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors
by: Du, Sicong, et al.
Published: (2025)

SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
by: Shu, Fangxun, et al.
Published: (2025)

VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
by: Wang, Weiyun, et al.
Published: (2025)

VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction
by: Liang, Jiarong, et al.
Published: (2026)

S$^2$Edit: Text-Guided Image Editing with Precise Semantic and Spatial Control
by: Liu, Xudong, et al.
Published: (2025)

Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
by: Jin, Zhuoran, et al.
Published: (2025)

InsightEdit: Towards Better Instruction Following for Image Editing
by: Xu, Yingjing, et al.
Published: (2024)