---
license: gpl-3.0
---

# APISR Model Card

<div align="center">

[**Paper (ArXiv)**](https://arxiv.org/pdf/2403.01598.pdf) **|** [**Code**](https://github.com/Kiteretsu77/APISR) **|** [🤗 **Gradio demo**](https://huggingface.co/spaces/HikariDawn/APISR) 

</div>

## Introduction
While real-world anime super-resolution (SR) has gained increasing attention in the SR community, existing methods still adopt techniques from the photorealistic
domain. In this paper, we analyze the anime production workflow and rethink how to use characteristics of it for the sake of the real-world anime SR. First, we argue that
video networks and datasets are not necessary for anime
SR due to the repetition use of hand-drawing frames. Instead, we propose an anime image collection pipeline by
choosing the least compressed and the most informative
frames from the video sources. Based on this pipeline,
we introduce the Anime Production-oriented Image (API)
dataset. In addition, we identify two anime-specific challenges of distorted and faint hand-drawn lines and unwanted color artifacts. We address the first issue by introducing a prediction-oriented compression module in the
image degradation model and a pseudo-ground truth preparation with enhanced hand-drawn lines. In addition, we introduce the balanced twin perceptual loss combining both
anime and photorealistic high-level features to mitigate unwanted color artifacts and increase visual clarity. We evaluate our method through extensive experiments on the public
benchmark, showing our method outperforms state-of-the-art anime dataset-trained approaches.

&ensp;

## WorkFlow
<div align="center">
    <img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/workflow.png", width="100%", height="100%", style="float: left">
</div>

&ensp;

## Visual Results

[<img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/visual_results/0079_visual.png" height="223px"/>](https://imgsli.com/MjQ1NzIz) [<img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/visual_results/0079_2_visual.png" height="223px"/>](https://imgsli.com/MjQ1NzMw) 

[<img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/visual_results/pokemon_visual.png" height="223px"/>](https://imgsli.com/MjQ1NzIy) [<img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/visual_results/pokemon2_visual.png" height="223px"/>](https://imgsli.com/MjQ1NzM5)

[<img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/visual_results/eva_visual.png" height="223px"/>](https://imgsli.com/MjQ1NzIx) [<img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/visual_results/kiteret_visual.png" height="223px"/>](https://imgsli.com/MjQ1NzE0) 

[<img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/visual_results/f91_visual.png" height="223px"/>](https://imgsli.com/MjQ1NzMx) [<img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/visual_results/wataru_visual.png" height="223px"/>](https://imgsli.com/MjQ1NzMy)

<div align="center">
    <img src="https://raw.githubusercontent.com/Kiteretsu77/APISR/main/__assets__/AVC_RealLQ_comparison.png", width="100%", height="100%", style="float: left">
</div>


## Citation
```bibtex
@article{wang2024apisr,
  title={APISR: Anime Production Inspired Real-World Anime Super-Resolution},
  author={Wang, Boyang and Yang, Fengyu and Yu, Xihang and Zhang, Chao and Zhao, Hanbin},
  journal={arXiv preprint arXiv:2403.01598},
  year={2024}
}
```