File size: 1,186 Bytes
ee0c625
e995f9b
f77624e
ee0c625
 
e995f9b
ee0c625
e995f9b
ee0c625
e995f9b
ee0c625
e995f9b
 
 
ee0c625
 
 
 
 
 
 
e995f9b
 
 
ee0c625
e995f9b
ee0c625
e995f9b
 
 
ee0c625
e995f9b
ee0c625
 
 
e995f9b
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
---
license: mit
library_name: transformers
---

# MangaLineExtraction-hf

Transformers version of [MangaLineExtraction_PyTorch](https://github.com/ljsabc/MangaLineExtraction_PyTorch).

Original repo: https://github.com/ljsabc/MangaLineExtraction_PyTorch

## Example

TODO

## Model Details

### Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** Chengze Li, Xueting Liu, Tien-Tsin Wong
- **Converted by:** Plat
- **License:** MIT

### Model Sources

- **Repository:** https://github.com/ljsabc/MangaLineExtraction_PyTorch
- **Paper:** https://ttwong12.github.io/papers/linelearn/linelearn.pdf
- **Project page:** https://www.cse.cuhk.edu.hk/~ttwong/papers/linelearn/linelearn.html 

## Citation 

**BibTeX:**

```bibtex
@article{li-2017-deep,
    author   = {Chengze Li and Xueting Liu and Tien-Tsin Wong},
    title    = {Deep Extraction of Manga Structural Lines},
    journal  = {ACM Transactions on Graphics (SIGGRAPH 2017 issue)},
    month    = {July},
    year     = {2017},
    volume   = {36},
    number   = {4},
    pages    = {117:1--117:12},
}
```