This is the official PyTorch implementation of the ICCV 2023 paper "LAC: Latent Action Composition for Skeleton-based Action Segmentation"
Clone this repo:
git clone https://github.com/walker1126/Latent_Action_Composition.git
cd Latent_Action_Composition
Install dependencies:
pip install -r requirements.txt
Generator training (by motion retargeting):
python train_generator.py -n view -g 0
Inference (action composition):
python predict.py -n view --model_path ./model/pretrained_view.pth -v1 ./examples/walk.json -v2 ./examples/drink.json -h1 720 -w1 720 -h2 720 -w2 720 -o ./outputs/com-demo --max_length 60
Comming soon!
@InProceedings{Yang_2023_ICCV,
author = {Yang, Di and Wang, Yaohui and Dantcheva, Antitza and Kong, Quan and Garattoni, Lorenzo and Francesca, Gianpiero and Bremond, Francois},
title = {LAC - Latent Action Composition for Skeleton-based Action Segmentation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2023},
pages = {13679-13690}
}
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