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[SIGGRAPH 2024] Motion I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Home Page: https://xiaoyushi97.github.io/Motion-I2V/

Python 88.24% C++ 3.85% Cuda 7.49% C 0.36% Shell 0.06%

motion-i2v's Introduction

List of Projects

Video Editing/Synthesis

Motion-I2V [SIGGRAPH 2024]: General explicit motion generation framework, working for Image-to-Video, Drag Video, Motion Brush, Vid2Vid.
AnimateLCM: video generation within 4 steps.
Be-Your-Outpainter [ECCV 2024]: video outpainting pipeline.

Class-Incremental Learning

PyCIL: a python toolbox for class-incremental learning.
CIL.Survey: a survey in deep class-incremental learning.
CIL.Pytorch: a pytorch tutorial to class-incremental learning.

Contact

email: [email protected] or [email protected]

motion-i2v's People

Contributors

Stargazers

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jackzhousz trouble-maker007

motion-i2v's Issues

Is there any plan to release the checkpoint or the pretrain checkpoint

pretrained checkpoint :

output_dir: "outputs_ctrl_flow_gen"
pretrained_model_path: "models/stage1/StableDiffusion-FlowGen/"
vae_pretrained_path: "models/stage1/StableDiffusion-FlowGen/vae_flow/diffusion_pytorch_model.bin"
resumed_model_path: "models/stage1/StableDiffusion-FlowGen/unet/diffusion_pytorch_model.bin"

where is the inference code?

Hi, thank you for your amazing work on this project. However, I am having trouble locating the inference code within the repository. Could you please point me to the specific files or directories where the inference code is implemented?

Instructions on the project

Hi, thanks for sharing the great work. Could you provide more instructions on the project? (i.e. how to do inference, how to download checkpoints)

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