SOURCE-LINKED INTELLIGENCE
Editable Visual Design
While diffusion base models such as GPT-Image-2 and Nano-Banana exhibit remarkable visual expressiveness, their end-to-end generation inherently yields flattened bitmaps with error-prone text, precluding layer-wise post-editing. Conversely, code-based visual generation via Coding Agents provides precise layout control and decoupled layers, yet remains constrained by a lack of global aesthetic intuition and the difficulty of coding complex visual assets. To address this, we propose Editable Visual Design, a new paradigm driven by a Coding Agent. We designate the VLM as the ``creative brain'' fo
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T16:10:12.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.