KwaiMind Technical Report
Commercial image editing requires product identity preservation, accurate text rendering, and user appeal alongside general editing quality. We present KwaiMind, an image editing system combining general capabilities with e-commerce specialization. An agent-based data engine maintains approximately 1.8 million high-quality editing pairs. Built on a multimodal diffusion transformer, KwaiMind undergoes continued pre-training and supervised fine-tuning, followed by preference optimization and online reinforcement learning. A general-purpose vision-language judge and specialized rewards for click-through rate (CTR), text rendering, and product consistency guide specialized policies, which are...
| Authors | Boheng Zhang, Fan Yang, Jia Sun et al. |
|---|---|
| Primary category | cs.CV |
| Published | 22 September 2026 |
| Last updated at source | 29 September 2026 |
Connected in the knowledge graph
- laziji402/Kwai-Ecom-BenchDataset · cited by
Models and datasets referencing this paper
- laziji402/Kwai-Ecom-BenchDataset
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