Depth Estimation
Diffusers
Safetensors
English
RollingDepthPipeline
monocular depth estimation
video depth estimation
in-the-wild
zero-shot
depth
Instructions to use prs-eth/rollingdepth-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prs-eth/rollingdepth-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("prs-eth/rollingdepth-v1-0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Add link to paper
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by nielsr HF Staff - opened
README.md
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[](https://rollingdepth.github.io)
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[](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".
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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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[](https://rollingdepth.github.io)
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[](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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