SenseNova-Vision Formulates Vision as Unified Multimodal Generation
rsasaki0109 · x · 2026-08-31
SenseNova-Vision proposes formulating computer vision as a unified multimodal generation task, expressing heterogeneous visual tasks through the native text and image generation spaces of a Unified Multimodal Model (UMM).
Core Mechanics:
- Instructions & Prompts: Natural-language instructions and optional visual prompts specify the task, target regions, output schema, and decoding conventions.
- Text Generation: Handles symbolic visual records like categories, boxes, keypoints, OCR strings, and camera parameters.
- Image Generation: Processes dense spatial targets such as segmentation masks, depth maps, surface normals, and multi-view point maps.
- Mixed Responses: Supports compositional tasks combining symbolic and dense outputs.
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