wyhsirius / lia

Learning to Animate Images via Latent Space Navigation

  • Public
  • 20.9K runs
  • GitHub
  • Paper
  • License
Iterate in playground
Run with an API
Playground API Examples README Versions

Examples

View more

Run time and cost

This model costs approximately $0.037 to run on Replicate, or 27 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 3 minutes. The predict time for this model varies significantly based on the inputs.

Readme

Latent Image Animator: Learning to Animate Images via Latent Space Navigation

This is the official PyTorch implementation of the ICLR 2022 paper “Latent Image Animator: Learning to Animate Images via Latent Space Navigation”

Citation

If you find this code useful for your research, please consider citing our paper:

@inproceedings{
wang2022latent,
title={Latent Image Animator: Learning to Animate Images via Latent Space Navigation},
author={Yaohui Wang and Di Yang and Francois Bremond and Antitza Dantcheva},
booktitle={International Conference on Learning Representations},
year={2022}
}

Acknowledgement

Part of the code is adapted from FOMM and MRAA. We thank authors for their contribution to the community.