RefineAny3D Boosts Monocular 3D Detection via Fine-tuned VLMs

RefineAny3D introduces a novel method to refine monocular 3D object detection. By rendering initial 3D bounding boxes and leveraging fine-tuned Vision-Language Models for visual alignment, it overcomes the limitations of depth foundation models in object-level precision without directly predicting numerical values.

2026-08-12 ~ 2026-08-12 · 2 related posts

• RefineAny3D: Using fine-tuned VLMs to optimize monocular 3D detection — kwangmoo_yi · 2026-08-12
• RefineAny3D Uses VLM Visual Alignment to Refine Monocular 3D Detection Without Numbers — kwangmoo_yi · 2026-08-12