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arXiv 2610.18860 · cs.AI · 2026-10-13

AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards

Xin Gao, Yifan Yang, Xin Li, Pan Wang, Yan Li, Muzhao Tian, Mingxi Cheng, Bei Liu and 8 more

Microsoft

In latest · #46 Added on 2026-10-21

One-line takeaway

AesCode uses a generated image as aesthetic guidance and decoupled cross-modal rewards to produce better-looking slides and posters as code.

AesCode 以同提示生成的图片做审美参考,用解耦的跨模态奖励训练模型写出更好看的幻灯片和海报代码。

137HF upvotes
114GitHub stars
0Citations (Semantic Scholar)
66.8Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)