SenseTime Open-Sources Visual Multimodal Model
JaynitMakwana · x · 2026-07-13
SenseTime has released and open-sourced SenseNova-Vision-7B-MoT, promoting the concept of "one model covering major vision tasks."
The content highlights that it reformulates traditional computer vision into a multimodal generative system controllable by language or visual prompts, eliminating the need for task-specific heads.
It also provides benchmark comparisons against Google DeepMind Vision Banana, claiming superior performance on multiple tasks, such as:
- RefCOCOg referring expression segmentation: 80.3 vs 73.8
- Cityscapes semantic segmentation: 71.2 vs 69.9
- NYUv2 depth estimation: 98.1 vs 94.8
- NYUv2 normal estimation: 14.4 vs 17.8
The release notes also mention that this is a new generation of visual multimodal model built on SenseTime's decade of experience in vision AI.
Related event: SenseTime open-sources SenseNova-Vision-7B-MoT unified vision model(6 posts)→
More from Multimodal
- Runway App Studio Demos: Character Swap and Production-Ready Character Sheets — runwayml · 2026-10-27
- Guy turns his girlfriend's selfie into a playable AI game ad about popping pimples — CurieuxExplorer · 2026-10-27
- Fibo 2 edit called unstable: even a color change alters the edited object — jd3k · 2026-10-27
- AIArtsy AI generates 3D cartoon-style sword fighting animation clip — Jealous-Associate-41 · 2026-10-27
- Seeking AI workflows for high-quality anime comics and colored manga pages — Worldly_Courage395 · 2026-10-27
- Open-source FableCut lets AI agents edit a real video timeline via remote MCP — FastPresence9799 · 2026-10-27