From Prompting to Composing: A Spatial Canvas Interface for Poster Generation

arXiv:2610.12230 · cs.CV, cs.AI · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-08

Updated: 2026-10-08

Project page: https://snowflakewang.github.io/Compo-Page

Terminology

• Accuracy — 20× in this paper · explained in 1 episode
• Benchmark — 18× in this paper · explained in 2 episodes
• Transformer — 11× in this paper · explained in 2 episodes
• Reinforcement Learning — 9× in this paper · explained in 4 episodes
• Conference on Computer Vision and Pattern Recognition — 8× in this paper
• Alignment — 7× in this paper · explained in 1 episode
• Consistency — 7× in this paper · explained in 3 episodes
• Diffusion Model — 7× in this paper · explained in 8 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Fidelity — 5× in this paper · explained in 2 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• International Conference on Computer Vision — 4× in this paper
• Commentary — 3× in this paper · explained in 2 episodes
• Instance Segmentation — 3× in this paper · explained in 3 episodes
• Unified Framework — 3× in this paper · explained in 5 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Decoupling — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Qwen3-VL Technical Report
• Qwen2.5-VL Technical Report
• Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
• HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer
• Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models
• Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget
• PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
• PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback
• MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data
• UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward
• Emerging Properties in Unified Multimodal Pretraining
• SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture
• LoRA: Low-Rank Adaptation of Large Language Models
• DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design
• ERNIE-Image Technical Report
• Step1X-Edit: A Practical Framework for General Image Editing
• DINOv2: Learning Robust Visual Features without Supervision
• UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
• JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation

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