Creative Image Editing Creative Image Generation Creative Video Generation Personalization
–Neural Information Processing Systems
Creativity in AI imagery remains a fundamental challenge, requiring not only the generation of visually compelling content but also the capacity to add novel, expressive, and artistically rich transformations to images. Unlike conventional editing requires tasks an autonomous, that rely on iterati direct v prompt-based e approach that modifications, balances originality creativ, e coherence, image editing and artistic intent. To address this, we introduce CREA, a novel multi-agent collaborative framework that mimics the human creative process. Our framework leverages a team of specialized AI agents who dynamically collaborate to conceptualize, generate, critique, and enhance images. Through extensive qualitative and quantitative evaluations, we demonstrate that CREA significantly outperforms state-of-the-art methods in diversity, semantic alignment, and creative transformation. To the best of our knowledge, this is the first work to introduce the task of creative editing.
Neural Information Processing Systems
Jun-23-2026, 03:51:05 GMT
- Genre:
- Research Report
- Experimental Study (1.00)
- New Finding (0.67)
- Research Report
- Industry:
- Media > Photography (0.62)
- Health & Medicine (0.45)
- Leisure & Entertainment > Sports (0.45)
- Technology:
- Information Technology > Artificial Intelligence
- Vision (1.00)
- Representation & Reasoning > Agents (1.00)
- Natural Language > Large Language Model (1.00)
- Cognitive Science (1.00)
- Machine Learning > Neural Networks
- Deep Learning (0.93)
- Information Technology > Artificial Intelligence