SenseTime unveils U1 Pro and open-sources a 50M-sample vision dataset at WAIC 2026

机器之心 · wechat · 2026-07-21

At WAIC 2026, SenseTime reportedly put two releases at the center of its multimodal strategy: SenseNova U1 Pro and SenseNova-Vision.

SenseNova U1 Pro

A native multimodal agent base model aimed at long-horizon delivery tasks.
It uses a unified architecture where understanding, generation, and editing share the same representation space.
The system supports near-lossless visual I/O, native Mixture-of-Transformer design, and separate training for text and pixels.
SenseTime claims it can run dozens of agentic generation loops, keeping global style and local text synchronized.

SenseNova-Vision

Reframes classic vision tasks such as detection, segmentation, depth estimation, and 3D reconstruction as native multimodal generation.
Removes task-specific heads and uses one shared representation for text, pixels, semantics, and geometry.
The company also open-sourced SN-VC-50M, a 50-million-sample visual supervision dataset.
Reported results include SOTA structured visual understanding and strong performance versus specialist baselines on geometry and segmentation.

The article frames these releases as part of a broader shift from stitched-together vision pipelines toward a unified multimodal foundation model.

More from Multimodal