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model card: architecture figure + dataset link

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  1. README.md +3 -0
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@@ -16,6 +16,7 @@ base_model: stabilityai/stable-video-diffusion-img2vid
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  [![Project Page](https://img.shields.io/badge/Project-Page-blue)](https://jaibardhan.com/depthworld/)
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  [![GitHub](https://img.shields.io/badge/GitHub-depthworld-black)](https://github.com/Jai2500/depthworld)
 
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  [![ArXiv](https://img.shields.io/badge/ArXiv-coming_soon-red)](https://jaibardhan.com/depthworld/)
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  ## TL;DR
@@ -27,6 +28,8 @@ world. RGB and depth are packed side-by-side along width per view and
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  modeled by a single Stable Video Diffusion UNet; an optional DPT head
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  additionally regresses per-pixel world-frame point maps.
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  ## Checkpoints
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  Both are consolidated 90k-step EMA weights (fp32 `.pt` state dicts), trained
 
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  [![Project Page](https://img.shields.io/badge/Project-Page-blue)](https://jaibardhan.com/depthworld/)
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  [![GitHub](https://img.shields.io/badge/GitHub-depthworld-black)](https://github.com/Jai2500/depthworld)
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+ [![Dataset](https://img.shields.io/badge/%F0%9F%A4%97%20Dataset-droid__3d__extrinsics-yellow)](https://huggingface.co/datasets/jaibrdhn/droid_3d_extrinsics)
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  [![ArXiv](https://img.shields.io/badge/ArXiv-coming_soon-red)](https://jaibardhan.com/depthworld/)
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  ## TL;DR
 
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  modeled by a single Stable Video Diffusion UNet; an optional DPT head
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  additionally regresses per-pixel world-frame point maps.
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+ ![DepthWorld architecture](architecture.png)
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+
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  ## Checkpoints
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  Both are consolidated 90k-step EMA weights (fp32 `.pt` state dicts), trained