VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images

Name: VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images
Uploaded: 2026-10-02T01:02:24.809918+00:00
Duration: 290 s
Description: VisionFoundry creates a synthetic data pipeline to improve vision-language models' visual perception by generating 10k high-quality, task-aware image-question pairs. The system uses an LLM to create prompts, a T2I model to generate images, and a multimodal judge to verify alignment. Results show this synthetic supervision significantly boosts performance on visual benchmarks.

VisionFoundry creates a synthetic data pipeline to improve vision-language models' visual perception by generating 10k high-quality, task-aware image-question pairs. The system uses an LLM to create prompts, a T2I model to generate images, and a multimodal judge to verify alignment. Results show this synthetic supervision significantly boosts performance on visual benchmarks.

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