Stereo Crafter

Introduction

StereoCrafter is a novel framework designed to transform 2D videos into immersive stereoscopic 3D formats suitable for various display devices, including 3D glasses, Apple Vision Pro, and 3D displays. This technology can be applied to a wide range of video sources, such as movies, vlogs, 3D cartoons, and AI-generated content (AIGC) videos.

Architecture

StereoCrafter employs a diffusion-based generation process to achieve long and high-fidelity stereoscopic 3D from monocular videos. This framework leverages advanced techniques in video processing and machine learning to enhance video content for immersive experiences.

Training

The training details for StereoCrafter involve utilizing large datasets of monocular videos to optimize the model's ability to predict and render stereoscopic 3D videos. The process includes fine-tuning the model to ensure high quality and consistency across different types of video inputs.

Guide: Running Locally

To run StereoCrafter locally:

1. Clone the StereoCrafter repository from Hugging Face.
2. Install the necessary dependencies using a package manager like pip.
3. Prepare a dataset of 2D videos for conversion.
4. Execute the conversion script provided in the repository.
5. View the output using compatible 3D display devices.

For optimal performance, especially with large datasets, using cloud GPUs such as those provided by AWS, Google Cloud, or Azure is recommended.

License

StereoCrafter is distributed under a specific license. For more information, please refer to the LICENSE file in the repository.