Correct pipeline tag and update tags (#1)
Browse files- Correct pipeline tag and update tags (6a17d52607d0e5129072986c59bbbb3afe7e3198)
Co-authored-by: Niels Rogge <[email protected]>
README.md
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library_name: geometry-crafter
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license: other
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language:
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- en
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base_model:
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- tencent/DepthCrafter
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- stabilityai/stable-video-diffusion-img2vid-xt
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-
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tags:
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- video-to-4d
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- point-cloud
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---
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## π Introduction
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We present GeometryCrafter, a novel approach that estimates temporally consistent, high-quality point maps from open-world videos, facilitating downstream applications such as 3D/4D reconstruction and depth-based video editing or generation.
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Release Notes:
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- `[01/04/2025]` π₯π₯π₯**GeometryCrafter** is released now, have fun!
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- Welcome to open issues and pull requests.
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- Welcome to optimize the inference speed and memory usage, e.g., through model quantization, distillation, or other acceleration techniques.
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---
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base_model:
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- tencent/DepthCrafter
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- stabilityai/stable-video-diffusion-img2vid-xt
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language:
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- en
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library_name: geometry-crafter
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license: other
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pipeline_tag: video-to-3d
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tags:
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- point-cloud
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---
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## π Introduction
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We present GeometryCrafter, a novel approach that estimates temporally consistent, high-quality point maps from open-world videos, facilitating downstream applications such as 3D/4D reconstruction and depth-based video editing or generation. This model is described in detail in the paper [GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors](https://arxiv.org/abs/2504.01016).
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Release Notes:
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- `[01/04/2025]` π₯π₯π₯**GeometryCrafter** is released now, have fun!
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- Welcome to open issues and pull requests.
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- Welcome to optimize the inference speed and memory usage, e.g., through model quantization, distillation, or other acceleration techniques.
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## π Citation
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If you find this work helpful, please consider citing:
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```BibTeXw
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TODO
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```
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