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README.md
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Since no pretrained model exists specifically for anime line extraction, the model was trained using a custom dataset and automatically generated edge masks.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/h06ej-ODkw5tDAx3X6KfL.png" width="
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### Intended Use Cases
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Potential applications include:
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These metrics indicate that the model is able to detect meaningful edge structures but struggles with extremely thin line details.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/zvCczs-TB241YW4FuVIOF.png" width="
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## Key Observations
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- Captured hair boundaries
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- Detected facial structures
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/dlkCHCrPtBJPvy7sGSc8j.png" width="
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Failure cases:
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- Dark scenes
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- Shading lines interpreted as edges
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- Excessive background detail
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/Hi0LQhIQZvWlAd_44o88H.png" width="
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/KnIMiKkePB9aDNausGNDp.png" width="
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These results show that the model learned meaningful edge structures despite the noisy annotations generated from Canny edge detection.
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## Visual Examples
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- Object detection models for automatic removal of occlusions
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/NKCNnMBSAzzhAPjaZiX9y.png" width="
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- Line art upscaling techniques
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/9cisCYIkU_y45UJtJRNcE.png" width="
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- Using detected edges for stitching animation panning shots
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/ZDIrGENzx4oy-Vj_jyQMa.gif" width="
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Since no pretrained model exists specifically for anime line extraction, the model was trained using a custom dataset and automatically generated edge masks.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/h06ej-ODkw5tDAx3X6KfL.png" width="100%">
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### Intended Use Cases
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Potential applications include:
|
|
|
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| 216 |
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| 217 |
These metrics indicate that the model is able to detect meaningful edge structures but struggles with extremely thin line details.
|
| 218 |
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+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/zvCczs-TB241YW4FuVIOF.png" width="50%">
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## Key Observations
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| 222 |
|
|
|
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- Captured hair boundaries
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| 227 |
- Detected facial structures
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| 228 |
|
| 229 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/dlkCHCrPtBJPvy7sGSc8j.png" width="100%">
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| 230 |
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| 231 |
Failure cases:
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| 232 |
|
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|
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| 234 |
- Dark scenes
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| 235 |
- Shading lines interpreted as edges
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| 236 |
- Excessive background detail
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| 237 |
+
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| 238 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/Hi0LQhIQZvWlAd_44o88H.png" width="100%">
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| 239 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/KnIMiKkePB9aDNausGNDp.png" width="100%">
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| 240 |
+
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These results show that the model learned meaningful edge structures despite the noisy annotations generated from Canny edge detection.
|
| 242 |
|
| 243 |
## Visual Examples
|
|
|
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| 337 |
|
| 338 |
- Object detection models for automatic removal of occlusions
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| 339 |
|
| 340 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/NKCNnMBSAzzhAPjaZiX9y.png" width="100%">
|
| 341 |
|
| 342 |
- Line art upscaling techniques
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| 343 |
|
| 344 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/9cisCYIkU_y45UJtJRNcE.png" width="100%">
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| 345 |
|
| 346 |
- Using detected edges for stitching animation panning shots
|
| 347 |
|
| 348 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/ZDIrGENzx4oy-Vj_jyQMa.gif" width="100%">
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