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title: PoseDiffusion_MVP | |
emoji: ๐ | |
colorFrom: blue | |
colorTo: indigo | |
sdk: gradio | |
sdk_version: 3.38.0 | |
app_file: app.py | |
pinned: false | |
license: apache-2.0 | |
# An Out-Of-The-Box Version of PoseDiffusion | |
[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/chongjie/PoseDiffusion_MVP) | |
## Introduction | |
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. | |
[![Demo Video](https://posediffusion.github.io/resources/qual_co3d.png)](https://posediffusion.github.io/resources/splash_sample2.mp4 "Demo Video") | |
## Usage | |
There are several ways you can use or interact with this project: | |
* **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. | |
* **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. | |
* **Run with Docker**: If you prefer to run the application locally using Docker, you can do so with the following command: | |
```bash | |
docker run -it -p 7860:7860 --platform=linux/amd64 \ | |
registry.hf.space/chongjie-posediffusion-mvp:latest python app.py | |
``` | |
## Acknowledgments | |
This repository is based on original [PoseDiffusion](https://posediffusion.github.io/) |