AI RESEARCH
VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images
arXiv CS.AI
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ArXi:2604.09531v1 Announce Type: cross Vision-language models (VLMs) still struggle with visual perception tasks such as spatial understanding and viewpoint recognition. One plausible contributing factor is that natural image datasets provide limited supervision for low-level visual skills. This motivates a practical question: can targeted synthetic supervision, generated from only a task keyword such as Depth Order, address these weaknesses? To investigate this question, we