UCLA and Tsinghua paper probes how far coding agents can go in visual generation
ucla-cmllab · hf · 2026-10-28
A paper from UCLA's CML Lab and Tsinghua University explores having coding agents generate images via executable programs instead of diffusion models.
Key findings:
- Coding agents exhibit structured visual reasoning when constructing images as code
- Agents maintain consistent internal scene representations across different drawing interfaces (Canvas 2D, SVG shapes, pixel harness, GUI), demonstrated by reproducing the Mona Lisa under multiple harnesses
- The authors analyze internal imagery using independent pixel probes
The work points to an alternative image-generation paradigm: agents building visuals programmatically.
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