WeChat Vision

Headlines · 2

1. Oct 23
   Tencent Releases WeVisOne-VL-2B for Unified Visual Perception

   Tencent’s WeChat Vision released WeVisOne-VL-2B, a 2B-parameter image-text-to-text model built on Qwen3-VL and licensed under Apache 2.0. According to the model card, it combines object-level tasks such as open-vocabulary detection, referring localization, counting, pointing and OCR with pixel-level referring segmentation and promptable alpha matting. The card also warns that fine alpha boundaries can be sensitive to image resolution, occlusion, transparency and prompt phrasing.

   腾讯混元 · Hugging Face · 🔥 0
2. Oct 23
   Tencent releases WeVisOne-VL-4B unified visual perception model

   Tencent WeChat Vision released WeVisOne-VL-4B, a Qwen3-VL-based vision-language model designed to combine object-level perception with pixel-level tasks. Tencent’s model card lists open-vocabulary object detection, referring localization, object counting, object pointing, OCR localization, referring segmentation, and promptable alpha matting. The release includes an inference package and a required 9.6-million-parameter pixel decoder. Tencent says fine alpha boundaries are sensitive to image resolution, severe occlusion, complex transparency, and prompt phrasing, and that the model currently targets single-turn image perception. Unless otherwise noted, Tencent-authored code is released under Apache License 2.0; third-party components retain their original licenses and copyright notices.

   腾讯混元 · Hugging Face · 🔥 0

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