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README.md
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- Unified indoor and outdoor metric depth estimation
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- VLM-compatible data format
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- Dense depth supervision for multimodal foundation models
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- Supports both geometry prediction and spatial reasoning tasks
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- Designed for scalable multimodal training
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## Paper
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Please refer to [the official repository](https://github.com/hanxunyu/DepthVLM) for:
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- Data preprocessing
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- Training instructions
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- Evaluation scripts
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- Visualization examples
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- Unified indoor and outdoor metric depth estimation
|
| 26 |
- VLM-compatible data format
|
| 27 |
- Dense depth supervision for multimodal foundation models
|
|
|
|
| 28 |
- Designed for scalable multimodal training
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| 29 |
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| 30 |
## Paper
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|
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| 36 |
Please refer to [the official repository](https://github.com/hanxunyu/DepthVLM) for:
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| 38 |
- Data preprocessing
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|
|
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| 39 |
- Evaluation scripts
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- Visualization examples
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| 41 |
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