Duplicate from zrgong/PST50

Co-authored-by: Gong Zerui <zrgong@users.noreply.huggingface.co>

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README.md

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+---
+task_categories:
+- image-to-image
+license: cc-by-4.0
+---
+
+# 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)
+
+---
+
+## 📁 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.
+
+---
+📜 License: cc-by-4.0
+---