| | --- |
| | base_model: |
| | - Wan-AI/Wan2.2-TI2V-5B |
| | library_name: diffusion-single-file |
| | tags: |
| | - diffusion |
| | - perspective-to-360 |
| | extra gated eu disallowed: true |
| | language: |
| | - en |
| | - zh |
| | pipeline_tag: video-to-video |
| | --- |
| | |
| | <p align="center"> <b> CubeComposer: Spatio-Temporal Autoregressive 4K 360° Video Generation from Perspective Video </b> </p> |
| |
|
| | <p align="center"> Lingen Li, Guangzhi Wang, Xiaoyu Li, Zhaoyang Zhang, Qi Dou, Jinwei Gu, Tianfan Xue, Ying Shan </p> |
| |
|
| | <p align="center"> CVPR 2026 </p> |
| |
|
| | **TL;DR**: Generate one cubemap face per time window with an effective and efficient context mechanism. Then, perspective video becomes 4K 360° without the memory blow‑up or the low‑res‑then‑upscale. |
| |
|
| | For more details, please visit our [project page](https://lg-li.github.io/project/cubecomposer/), [paper](https://arxiv.org/abs/2603.04291), and [GitHub repo](https://github.com/TencentARC/CubeComposer). |
| |
|
| | ### Model variants |
| |
|
| | We provide two variants of CubeComposer in this repo: |
| |
|
| | - cubecomposer-3k: supports 2K/3K generation, cubemap size = 512/768, temporal window length = 9 frames. |
| | - cubecomposer-4k: supports 4K generation, cubemap size = 960, temporal window length = 5 frames. |
| |
|
| | ### Citation |
| |
|
| | If you find our model helpful in your research, please like this repo, star the [GitHub repo](https://github.com/TencentARC/CubeComposer) and cite: |
| |
|
| | ``` |
| | @article{li2026cubecomposer, |
| | title={CubeComposer: Spatio-Temporal Autoregressive 4K 360° Video Generation from Perspective Video}, |
| | author={Li, Lingen and Wang, Guangzhi and Li, Xiaoyu and Zhang, Zhaoyang and Dou, Qi and Gu, Jinwei and Xue, Tianfan and Shan, Ying}, |
| | journal={arXiv preprint arXiv:2603.04291}, |
| | year={2026} |
| | } |
| | ``` |
| |
|
| | ### License |
| |
|
| | This repository is released under the terms of the [LICENSE file](./LICENSE). |
| |
|
| | By cloning, downloading, using, or distributing this repository or any of its models or weights, you agree to comply with the terms and conditions specified in the LICENSE. |