EnVision-Research / MotionInversion

Official implementation of 'Motion Inversion For Video Customization'
https://wileewang.github.io/MotionInversion/
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Request for Benchmarks Details Used in Quantitative Evaluation #8

Open euminds opened 1 month ago

euminds commented 1 month ago

Hi,

Thank you for your insightful work and this repository.

I was wondering if you plan to release the benchmarks proposed in the paper. The paper mentions a validation set with 66 video-edit text pairs from sources like DAVIS, WebVID, and online resources. Could you provide more specifics on:

The exact videos selected from each dataset. The associated text prompts are used for video editing.

Any additional details on the dataset or where to access similar resources would be greatly appreciated.

Thanks!

wileewang commented 1 month ago

Please find validation videos and text prompts via this link: https://hkustgz-my.sharepoint.com/:u:/g/personal/lwang592_connect_hkust-gz_edu_cn/EaZnJVMpR_JOv0pV1tx5cK0B9fKh4tFuWfdw0QMUMfWZsQ?e=g9I2Vh

There videos are collected from davis video dataset and other similar works - DMT and MotionDirector.

euminds commented 1 month ago

Please find validation videos and text prompts via this link: https://hkustgz-my.sharepoint.com/:u:/g/personal/lwang592_connect_hkust-gz_edu_cn/EaZnJVMpR_JOv0pV1tx5cK0B9fKh4tFuWfdw0QMUMfWZsQ?e=g9I2Vh

There videos are collected from davis video dataset and other similar works - DMT and MotionDirector.

Thank you very much !!

euminds commented 1 month ago

Please find validation videos and text prompts via this link: https://hkustgz-my.sharepoint.com/:u:/g/personal/lwang592_connect_hkust-gz_edu_cn/EaZnJVMpR_JOv0pV1tx5cK0B9fKh4tFuWfdw0QMUMfWZsQ?e=g9I2Vh

There videos are collected from davis video dataset and other similar works - DMT and MotionDirector.

Additionally, Could you clarify which loss function was used to train the model for the results presented in the paper?"

wileewang commented 1 month ago

We adopt the debiased hybrid loss and blend noise initialization strategy(strength=0.5).

For other args