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Article: Chinese start-up DeepSeek teams with Tencent, HKU on AI tool to sharpen 3D design

Impact Score

5 / 10

AI Summary (Processed Content)

Chinese AI start-up DeepSeek has collaborated with Tencent, the University of Hong Kong, and Beihang University to release an open-source AI framework called Pointer-CAD for improving 3D design. The tool, built on Alibaba's Qwen 2.5 model, aims to enhance accuracy and efficiency in computer-aided design by better generating complex geometric structures and minimizing segmentation errors.

The researchers have published a paper on their method and made the code publicly available on GitHub. The development addresses limitations in current AI methods for 3D object generation, which often use excessive computational tokens or lack support for precise entity selection during complex edits.

Main topics: AI for 3D/CAD design, open-source research collaboration, technical improvements in geometric modeling.

Original URL

https://www.scmp.com/tech/article/3345687/chinese-start-deepseek-teams-tencent-hku-ai-tool-sharpen-3d-design?utm_source=rss_feed

Source Feed

Tech - South China Morning Post

Published Date

2026-03-07 03:00

Fetched Date

2026-03-07 00:30

Processed Date

2026-03-07 00:31

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Present

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Not Clustered

Raw Extracted Content

Chinese start-up DeepSeek teams with Tencent, HKU on AI tool to sharpen 3D design
Open-source Pointer-CAD framework, built on Alibaba’s Qwen 2.5 model, enhances accuracy and efficiency in computer-aided design: researchers
The new method could “effectively support the generation of complex geometric structures and reduce segmentation error to an extremely low level” compared with existing technology, according to a paper published on Wednesday on open-access repository arXiv.
The authors – including DeepSeek researcher Liu Wen, Tencent’s Zhao Zibo, HKU professor Ma Yi and Beihang University student Qi Dacheng – have open-sourced the novel approach, with code available at GitHub, the world’s largest developer community.
CAD workflows typically begin with 2D sketches, such as lines and circles, which are then transformed into 3D modelling operations. Existing AI methods that generate 3D objects either consume too many tokens or do not support entity selection, limiting complex editing.