SpatialPoint, a framework from Visincept, Tsinghua University and IDEA, integrates depth data as a core input for vision-language models, enabling robots to generate precise 3D coordinates for complex tasks. Built on Qwen3-VL, it achieved 17.2mm average distance prediction error in benchmarks - over 30 times lower than conventional methods. https://pandaily.com/spatial-point-integrates-depth-as-core-input-for-vision-language-models #China #Tech #AI
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