ScribbleEdit: A Benchmark for Scribble-Only Image Editing

arXiv:2610.09382 · cs.GR, cs.CV · Submitted 2026-10-07 · Read on arXiv

cs.GR, cs.CV

Submitted: 2026-10-07

Updated: 2026-10-07

Code: https://github.com/black-forest-labs/flux

Terminology

• Benchmark — 15× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Embeddings — 8× in this paper · explained in 2 episodes
• Diffusion Model — 7× in this paper · explained in 8 episodes
• Diffusion Models — 7× in this paper · explained in 6 episodes
• Soft-token Scribble Editing — 5× in this paper
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Semantic Similarity — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Qwen2.5-VL Technical Report
• DiffEdit: Diffusion-based semantic image editing with mask guidance
• Emerging Properties in Unified Multimodal Pretraining
• Personalize Anything for Free with Diffusion Transformer
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
• Step1X-Edit: A Practical Framework for General Image Editing
• SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
• DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
• DreamO: A Unified Framework for Image Customization
• EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
• Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
• OmniGen2: Towards Instruction-Aligned Multimodal Generation
• Faster Segment Anything: Towards Lightweight SAM for Mobile Applications
• V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction

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