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license: apache-2.0
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title: PoseDiffusion_MVP
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license: apache-2.0
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# An Out-Of-The-Box Version of PoseDiffusion
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[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/chongjie/PoseDiffusion_MVP)
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## Introduction
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Camera pose estimation is a critical task in computer vision, traditionally relying on classical methods such as keypoint matching, RANSAC, and bundle adjustment. [PoseDiffusion](https://posediffusion.github.io/) introduces a novel approach to this problem by formulating the Structure from Motion (SfM) problem within a probabilistic diffusion framework.
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[![Demo Video](https://posediffusion.github.io/resources/qual_co3d.png)](https://posediffusion.github.io/resources/splash_sample2.mp4 "Demo Video")
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## Usage
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There are several ways you can use or interact with this project:
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* **Direct Use**: If you want to use the space directly without any modifications, simply click [here](https://huggingface.co/spaces/chongjie/PoseDiffusion_MVP). This will take you to the live application where you can interact with it as is.
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* **Duplicate the Space**: If you want to create a copy of this space for your own use or modifications, click [here](https://huggingface.co/spaces/chongjie/co-tracker?duplicate=true). This will create a duplicate of the space under your account, which you can then modify as per your needs.
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* **Run with Docker**: If you prefer to run the application locally using Docker, you can do so with the following command:
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```bash
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docker run -it -p 7860:7860 --platform=linux/amd64 \
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registry.hf.space/chongjie-posediffusion-mvp:latest python app.py
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```
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## Acknowledgments
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This repository is based on original [PoseDiffusion](https://posediffusion.github.io/)
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