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Expand Up @@ -69,7 +69,7 @@ and the results are saved in [`output/test/deepfashion`](https://github.com/panz

**Pretrained VGG model** Download from [here](https://drive.google.com/file/d/1fp7DAiXdf0Ay-jANb8f0RHYLTRyjNv4m/view?usp=sharing), move it to `models/`. This model is used to calculate training loss.
#### 1) ADE20k (mask-to-image)
- **Dataset** Download [ADE20k](https://groups.csail.mit.edu/vision/datasets/ADE20K/), move `ADEChallengeData2016/annotations/ADE_train_*.png` to `ADEChallengeData2016/images/training/`, `ADEChallengeData2016/annotations/ADE_val_*.png` to `ADEChallengeData2016/images/validation/
- **Dataset** Download [ADE20k](https://groups.csail.mit.edu/vision/datasets/ADE20K/), move `ADEChallengeData2016/annotations/ADE_train_*.png` to `ADEChallengeData2016/images/training/`, `ADEChallengeData2016/annotations/ADE_val_*.png` to `ADEChallengeData2016/images/validation/`

- **Retrieval_pairs** We use image retrieval to find exemplars for exemplar-based training. Download `ade20k_ref.txt` and `ade20k_ref_test.txt` from [here](https://drive.google.com/drive/folders/1BKrEtEE2u5eZgAkviBo0TJJNDM4F4wga?usp=sharing), save or replace them in `data/`

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