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@@ -14,9 +14,9 @@ paper:
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  - arxiv: 2605.15876
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- # DepthVLM Benchmark
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- DepthVLM Benchmark is a unified indoor-outdoor metric depth estimation benchmark designed for vision-language models (VLMs).
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  The benchmark provides diverse indoor and outdoor scenes with metric depth annotations in a unified VLM-compatible format, enabling large multimodal models to jointly learn dense geometry prediction and multimodal understanding.
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  - arxiv: 2605.15876
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+ # DepthVLM-Bench
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+ DepthVLM-Bench is a unified indoor-outdoor metric depth estimation benchmark designed for vision-language models (VLMs).
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  The benchmark provides diverse indoor and outdoor scenes with metric depth annotations in a unified VLM-compatible format, enabling large multimodal models to jointly learn dense geometry prediction and multimodal understanding.
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