tengfei-wang / hfgi

High-Fidelity GAN Inversion for Image Attribute Editing

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Input

Output

Run time and cost

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 5 seconds.

Readme

High-Fidelity GAN Inversion for Image Attribute Editing

Update: We released the inference code and the pre-trained model on Oct. 31. The training code is coming soon.

paper | project website | demo video

Introduction

We present a novel high-fidelity GAN inversion framework that enables attribute editing with image-specific details well-preserved (e.g., background, appearance and illumination).

Citation

If you find this work useful for your research, please cite:

@article{wang2021HFGI,
      author = {Tengfei Wang and Yong Zhang and Yanbo Fan and Jue Wang and Qifeng Chen},
      title = {High-Fidelity GAN Inversion for Image Attribute Editing}, 
      journal = {arxiv:2109.06590},  
      year = {2021}
}