chenhsing / awesome-video-diffusion-models Goto Github PK

Hi I'm the author of StableVideo @ICCV 2023
code: https://github.com/rese1f/StableVideo
website: https://rese1f.github.io/StableVideo

you do a very great survey, many thanks!

Evalcrafter is open-sourced, it’s nice of you to update. Thanks!

Webpage: https://evalcrafter.github.io
GitHub: https://github.com/evalcrafter/EvalCrafter

Many thanks for your awesome list!!!

Thanks a lot for your efforts in categorizing and staying tuned even for recently published papers.

I would like to ask you to add github url to VMC paper.
In category of Motion-guided Video Generation
The paper VMC: One-Shot Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models

The github link is this: https://github.com/HyeonHo99/Video-Motion-Customization

Thank you!

We have released a text-2-video dataset named ECTV, please take a look at:
Dataset: https://huggingface.co/datasets/RaphaelLiu/EvalCrafter_T2V_Dataset
Paper: https://arxiv.org/abs/2310.11440
GitHub: https://github.com/evalcrafter/EvalCrafter

Many thanks for your awesome list!!!

https://github.com/fudan-generative-vision/champ

Looking forward to increasing the realization of image generation and video related projects

Not sure Stable Video Diffusion is a T2V model or I2V model.

Hi, thanks for collecting a list of benchmark and metrics. Would you consider adding the Text-to-Video benchmark "VBench"?

VBench: Comprehensive Benchmark Suite for Video Generative Models
arXiv: https://arxiv.org/abs/2311.17982
website: https://vchitect.github.io/VBench-project/
code: https://github.com/Vchitect/VBench
video: https://www.youtube.com/watch?v=7IhCC8Qqn8Y
huggingface: https://huggingface.co/spaces/Vchitect/VBench_Leaderboard

Congrats on the impressive work.

Our DiffusionRet has been accepted by ICCV 2023. The code is available at Code.

Could you please update the information on our paper?

Thank you for your excellent work for VDM! Out of respect for your efforts, I translated it on Zhihu. Sincerely hope that your work garners further recognition and appreciation.
https://zhuanlan.zhihu.com/p/661860981

DragVideo- Interactive Drag-style Video Editing 2312.02216

Drag-A-Video- Non-rigid Video Editing with Point-based Interaction 2312.02936