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MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

[SIGGRAPH 2024 CONFERENCE PROCEEDINGS]

👉 MotionCtrl for [SVD], for [VideoCrafter], for [AnimateDiff]

Paper   arXiv   Project Page

🤗 HF Demo   🤗 HF Demo

🔥🔥🔥 We have released both Training and Inference code of MotionCtrl deployed on AnimateDiff

🔥🔥 We release the codes, models and demos for MotionCtrl on Stable Video Diffusion (SVD).

motionctrl_small.mp4

Official implementation of MotionCtrl: A Unified and Flexible Motion Controller for Video Generation.

MotionCtrl can Independently control complex camera motion and object motion of generated videos, with only a unified model.

Results of MotionCtrl+AnimateDiff

Results of MotionCtrl+SVD

More results are in showcase_svd and our Project Page.

Results of MotionCtrl+VideoCrafter

More results are in our Project Page.

📝 Changelog

  • 20231225: Release MotionCtrl deployed on LVDM/VideoCrafter.
  • 20231225: Gradio demo available. 🤗 HF Demo
  • 20231228: Provide local gradio demo for convenience.
  • 20240115 More camera poses used for testing are provided in dataset/camera_poses
  • 20240115 Release MotionCtrl deployed on SVD. Codes are in the branch svd and Gradio Demo is available in 🤗 HF Demo.
  • ❗❗❗ Gradio demo of MotionCtrl deployed on VideoCrafter2 is available in 🤗 HF Demo. You can also run it locally by python -m app --share.
  • ❗❗❗ Release MotionCtrl deployed on AnimateDiff are available in branch animatediff, containing both training and inference code.
  • 20240920 Provide scripts for collecting object trajectories with ParticleSfM.
  • 20240920 We provide a HandyTrajDrawer to customize object trajectoires more conveniently.

⚙️ Environment

conda create -n motionctrl python=3.10.6
conda activate motionctrl
pip install -r requirements.txt

💫 Inference

  • Run local inference script

  1. Download the weights of MotionCtrl motionctrl.pth and put it to ./checkpoints.
  2. Go into configs/inference/run.sh and set condtype as 'camera_motion', 'object_motion', or 'both'.
  • condtype=camera_motion means only control the camera motion in the generated video.
  • condtype=object_motion means only control the object motion in the generated video.
  • condtype=both means control the camera motion and object motion in the generated video simultaneously.
  1. Running scripts: sh configs/inference/run.sh

  • Run local gradio demo

    python -m app --share

🔥🔥 Training 👉 Details

Preparing Dataset

  • RealEstate10K

    1. Following https://github.com/cashiwamochi/RealEstate10K_Downloader to download and process the videos.
    2. Corresponding Captions and List are provided in GoogleDrive.

  • WebVid with Object Trajectories

    1. Preparing ParticleSfM. Our experiments is running on CentOS 8.5 and we provide a detailed install note in dataset/object_trajectories/ParticleSfM_Install_Note.pdf.

    2. Moving dataset/object_trajectories/prepare_webvideo_len32.py and dataset/object_trajectories/run_particlesfm_obj_traj.py to ParticleSfM project.

    3. Step 1: Prepare sub-videos with lenth of 32 and size of 256 x 256.

      ## start_idx and end_idx is used to process a subset of the dataset in different machines parallelly

python prepare_webvideo_len32.py --start_idx 0 --end_idx 1000

    4. Step 2: Get object trajectories

        root_dir="WebVid/train_256_32"
  start_idx=0
  end_idx=1000

  CUDA_VISIBLE_DEVICES=0 python run_particlesfm_obj_traj.py \
  --root_dir $root_dir \
  --start_idx $start_idx \
  --end_idx $end_idx \

  • You can customize object Trajectories with our provided HandyTrajDrawer.

📚 Citation

If you make use of our work, please cite our paper.

@inproceedings{wang2024motionctrl,
  title={Motionctrl: A unified and flexible motion controller for video generation},
  author={Wang, Zhouxia and Yuan, Ziyang and Wang, Xintao and Li, Yaowei and Chen, Tianshui and Xia, Menghan and Luo, Ping and Shan, Ying},
  booktitle={ACM SIGGRAPH 2024 Conference Papers},
  pages={1--11},
  year={2024}
}

🤗 Acknowledgment

The current version of MotionCtrl is built on VideoCrafter. We appreciate the authors for sharing their awesome codebase.

❓ Contact

For any question, feel free to email [email protected] or [email protected].