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task_categories:
- image-to-image
license: cc-by-4.0
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# PST50: Benchmark for Photorealistic Style Transfer

**PST50** is the first benchmark dataset designed for rigorous evaluation of **Photorealistic Style Transfer (PST)**. It includes high-resolution, professionally curated content-style pairs with ground truth stylizations, suitable for both **paired** and **unpaired** evaluation protocols.

This dataset is introduced in the paper:  
**SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer**
[Project Page](https://github.com/Ry3nG/SA-LUT) • [Paper](https://huggingface.co/papers/2506.13465) • [Code](https://github.com/Ry3nG/SA-LUT)

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## 📁 Dataset Structure

```bash
PST50/
├── video/            # Content videos in log color space
├── content_709/      # Content images in Rec.709 color space
├── content_log/      # Content image in log color space
├── paired_gt/        # Ground truth stylized outputs for paired evaluation
├── paired style/     # Style references for paired evaluation
└── unpaired_style/   # Style references for unpaired evaluation

```

## 🧪 Evaluation Protocol
- Paired: Compare stylized outputs against `paired_gt` using metrics like LPIPS, PSNR, SSIM, and H-Corr.
- Unpaired: Use `unpaired_style` with stylized outputs for qualitative or perceptual studies.
- Video: Apply models to video sequences to test temporal consistency and real-time stylization.

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📜 License: cc-by-4.0
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