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metadata
license: other
license_name: multiple-licenses
license_link: https://huggingface.co/AntResearch/4DAnyone/blob/main/LICENSE
pipeline_tag: video-to-video
tags:
  - video-generation
  - multiview-video-generation
  - 4D-human-reconstruction
  - novel-view-synthesis

4DAnyone: Create Anyone in 4D from a Casual Monocular Video

Project Page  |  Paper  |  Code

4DAnyone teaser

4DAnyone turns a casual monocular video into multi-view videos, enabling downstream 4DGS reconstruction.

Models

4danyone/
β”œβ”€β”€ model.safetensors
β”œβ”€β”€ smplx_to_goliath70.pt
β”œβ”€β”€ Wan2.2_VAE.pth
β”œβ”€β”€ models_t5_umt5-xxl-enc-bf16.pth
└── umt5-xxl/
    β”œβ”€β”€ special_tokens_map.json
    β”œβ”€β”€ spiece.model
    β”œβ”€β”€ tokenizer.json
    └── tokenizer_config.json

gvhmr/
β”œβ”€β”€ gvhmr_siga24_release.ckpt
β”œβ”€β”€ epoch=10-step=25000.ckpt
β”œβ”€β”€ vitpose-h-multi-coco.pth
└── yolov8x.pt

data/source/pexels/
└── eight 121-frame example videos

Licensing is asset-specific. See LICENSE for the exact scope and licenses/ for the complete terms.

Citation

If you find 4DAnyone useful or interesting, please cite our work and give this model a ❀️ like:

@article{jin2026fdanyone,
  title={4DAnyone: Create Anyone in 4D from a Casual Monocular Video},
  author={Jin, Yudong and Xie, Tao and Zhang, Qihang and Shen, Zehong and Xu, Zhen and Shen, Yujun and Bao, Hujun and Zhou, Xiaowei and Xu, Yinghao},
  journal={arXiv preprint arXiv:2608.20335},
  year={2026},
  url={https://arxiv.org/abs/2608.20335}
}