Official code for IJCAI 2024 paper: M2Beats: When Motion Meets Beats in Short-form Videos
Linux conda python 3.9
https://pytorch.org/get-started/locally/
参考安装命令:
conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia
pip install -U openmim
mim install "mmcv==2.1.0"
mim install mmdet
mim install mmpose
moviepy
mir_eval
checkpoint链接:
视频链接:
路径: M2Beats/checkpoint/
修改demo.py中12-13行的movie_path和music_path为自己的视频和音乐
python demo.py
python make_dataset.py
python train.py
python test.py
| 🎁 Projects | 📚 Publication | 🌈 Content | ⭐ Stars |
| Attacker Against IAA Model【美学模型的攻击和安全评估框架】 | TIP 2025 | Code, Dataset | |
| Personalized Aesthetics Assessment【个性化美学评估新范式】 | CVPR 2025 | Code, Dataset | |
| Pixel-level image exposure assessment【首个像素级曝光评估】 | NIPS 2024 | Code, Dataset | |
| Long-tail solution for image aesthetics assessment【美学评估数据不平衡解决方案】 | ICML 2024 | Code | |
| CLIP-based image aesthetics assessment【基于CLIP多因素色彩美学评估】 | Information Fusion 2024 | Code, Dataset | |
| Compare-based image aesthetics assessment【基于对比学习的多因素美学评估】 | ACMMM 2024 | Code | |
| Image color aesthetics assessment【首个色彩美学评估】 | ICCV 2023 | Code, Dataset | |
| Image aesthetics assessment【通用美学评估】 | ACMMM 2023 | Code | |
| Theme-oriented image aesthetics assessment【首个多主题美学评估】 | IJCAI 2022 | Code, Dataset | |
| Select prompt based on image aesthetics assessment【基于美学评估的提示词筛选】 | IJCAI 2024 | Code | |
| Motion rhythm synchronization with beats【动作与韵律对齐】 | IJCAI 2024 | Code, Dataset | |
| Champion Solution for AIGC Image Quality Assessment【NTIRE AIGC图像质量评估赛道冠军】 | CVPRW NTIRE 2024 | Code |