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--- |
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license: openrail |
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language: |
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- en |
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pipeline_tag: depth-estimation |
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tags: |
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- monocular depth estimation |
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- video depth estimation |
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- in-the-wild |
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- zero-shot |
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- depth |
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--- |
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# πΉ RollingDepth: Video Depth without Video Models |
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[![Website](doc/badges/badge-website.svg)](https://rollingdepth.github.io) |
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[![Hugging Face Model](https://img.shields.io/badge/GitHub-Code-blue)](https://github.com/prs-eth/RollingDepth) |
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This repository represents the official implementation of the paper titled ["Video Depth without Video Models"](https://hf.co/papers/2411.19189). |
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[Bingxin Ke](http://www.kebingxin.com/)<sup>1</sup>, |
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[Dominik Narnhofer](https://scholar.google.com/citations?user=tFx8AhkAAAAJ&hl=en)<sup>1</sup>, |
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[Shengyu Huang](https://shengyuh.github.io/)<sup>1</sup>, |
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[Lei Ke](https://www.kelei.site/)<sup>2</sup>, |
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[Torben Peters](https://scholar.google.com/citations?user=F2C3I9EAAAAJ&hl=de)<sup>1</sup>, |
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[Katerina Fragkiadaki](https://www.cs.cmu.edu/~katef/)<sup>2</sup>, |
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[Anton Obukhov](https://www.obukhov.ai/)<sup>1</sup>, |
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[Konrad Schindler](https://scholar.google.com/citations?user=FZuNgqIAAAAJ&hl=en)<sup>1</sup> |
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<sup>1</sup>ETH Zurich, |
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<sup>2</sup>Carnegie Mellon University |
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<!-- internal checkpoint id: 54-1_tar+hyp_1-3frame_d-pertub_d-squeeze_bs8/checkpoint/iter_022000 --> |
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These components are copied from [Stable-Diffusion-2](https://huggingface.co/stabilityai/stable-diffusion-2): `text_encoder`, `tokenizer`, and `vae`. |
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<!-- ## π Citation |
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```bibtex |
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``` --> |
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## π« License |
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This code of this work is licensed under the Apache License, Version 2.0 (as defined in the [LICENSE-CODE](LICENSE-CODE.txt)). |
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The model is licensed under RAIL++-M License (as defined in the [LICENSE-MODEL](LICENSE-MODEL.txt)) |
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By downloading and using the code and model you agree to the terms in [LICENSE-CODE](LICENSE-CODE.txt) and [LICENSE-MODEL](LICENSE-MODEL.txt) respectively. |
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