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<h2>StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos</h2>
Sijie Zhao* 
Wenbo Hu* 
Xiaodong Cun* 
Yong Zhang† 
Xiaoyu Li† <br>
Zhe Kong 
Xiangjun Gao 
Muyao Niu 
Ying Shan
 * equal contribution   † corresponding author
<h3>Tencent AI Lab  ARC Lab, Tencent PCG</h3>
<a href='https://arxiv.org/abs/2409.07447'><img src='https://img.shields.io/badge/arXiv-PDF-a92225'></a>  
<a href='https://stereocrafter.github.io/'><img src='https://img.shields.io/badge/Project_Page-Page-64fefe' alt='Project Page'></a>  
<a href='https://huggingface.co/TencentARC/StereoCrafter'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Weights-yellow'></a>
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## Introduction
We propose a novel framework to convert any 2D videos to immersive stereoscopic 3D ones that can be viewed on different display devices, like 3D Glasses, Apple Vision Pro and 3D Display. It can be applied to various video sources, such as movies, vlogs, 3D cartoons, and AIGC videos.
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