# Ant Ling — Segmentation-as-Editing for Unified Multimodal AI

- Company: Ant Ling (ant-ling.com)
- Announced: 2025-09-13
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://developer.ant-ling.com/en/blogs/ming-lite-omni-1_5-seg
- Record: https://forck.live/items/22339-segmentation-as-editing-for-unified-multimodal-ai
- Subject: Ling / Ring / Ming
- Open weights: yes
- Models affected: Ming-lite-omni 1.5

Ant Ling's Ming-lite-omni 1.5 model reframes segmentation as a color-editing task, improving its cIoU score on RefCOCO-val from 16% to 72.4%. The approach converts mask generation into image-to-image editing, aligning the task with generative model strengths. The model is open-weight and available on GitHub, Hugging Face, and ModelScope.

## Evidence

Verbatim from https://developer.ant-ling.com/en/blogs/ming-lite-omni-1_5-seg:

> The cIoU score didn't just improve — it soared from 16% to 72.4% on RefCOCO-val, a relative gain of over 350%.

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