metadata

title: PoseDiffusion_MVP
emoji: 🐠
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

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 introduces a novel approach to this problem by formulating the Structure from Motion (SfM) problem within a probabilistic diffusion framework.

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. 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. 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:

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