GMO-E squared DIT: Grounded Multi-Operation Editing for E-Commerce Images

arXiv:2607.00920 · cs.CV · Submitted 2026-07-01 · Read on arXiv

cs.CV

Submitted: 2026-07-01

Updated: 2026-10-13

Terminology

• Accuracy — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Vision-Language Model — 1× in this paper
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes

Sources

• Qwen-Image Technical Report
• FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
• ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning
• Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback
• Meta-CoT: Enhancing Granularity and Generalization in Image Editing
• CharGen: High Accurate Character-Level Visual Text Generation Model with MultiModal Encoder
• RePainter: Empowering E-commerce Object Removal via Spatial-matting Reinforcement Learning
• UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing
• RePlan: Reasoning-guided Region Planning for Complex Instruction-based Image Editing
• GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
• MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance
• EditThinker: Unlocking Iterative Reasoning for Any Image Editor
• ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing
• PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback
• MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data
• Prompt-to-Prompt Image Editing with Cross Attention Control
• Step1X-Edit: A Practical Framework for General Image Editing
• OmniGen2: Towards Instruction-Aligned Multimodal Generation
• Emerging Properties in Unified Multimodal Pretraining
• WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing

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