Editable Visual Design

arXiv:2609.04034 · cs.CV, cs.CL · Submitted 2026-09-03 · Read on arXiv

cs.CV, cs.CL

Submitted: 2026-09-03

Updated: 2026-09-04

Code: https://github.com/yejy53/Editable-Design

Terminology

• Diffusion Model — 6× in this paper · explained in 8 episodes
• Diffusion Models — 6× in this paper · explained in 6 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Verification — 4× in this paper · explained in 2 episodes
• Decoupling — 3× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 3× in this paper
• Unified Framework — 3× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Task Planning — 2× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
• Graphic Design with Large Multimodal Model
• Emu3.5: Native Multimodal Models are World Learners
• Emerging Properties in Unified Multimodal Pretraining
• SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture
• UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs
• LaTCoder: Converting Webpage Design to Code with Layout-as-Thought
• Mind-Brush: Integrating Agentic Cognitive Search and Reasoning into Image Generation
• GEMS: Agent-Native Multimodal Generation with Memory and Skills
• OpenCOLE: Towards Reproducible Automatic Graphic Design Generation
• COLE: A Hierarchical Generation Framework for Multi-Layered and Editable Graphic Design
• DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation
• Kimi K3: Open Frontier Intelligence
• Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
• VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System
• Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image Detection
• SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation
• Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering
• World Action Models: The Next Frontier in Embodied AI
• Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

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• A Survey on Efficient Vision-Language-Action Models