Datasets:
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README.md
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# PST50: Benchmark for Photorealistic Style Transfer
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**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.
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This dataset is introduced in the paper:
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**SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer**
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[Project Page](https://github.com/Ry3nG/SA-LUT) • (link once available)
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---
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## 📁 Dataset Structure
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```bash
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PST50/
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├── video/ # Content videos in log color space
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├── content_709/ # Content images in Rec.709 color space
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├── content_log/ # Content image in log color space
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├── paired_gt/ # Ground truth stylized outputs for paired evaluation
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├── paired style/ # Style references for paired evaluation
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└── unpaired_style/ # Style references for unpaired evaluation
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```
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## 🧪 Evaluation Protocol
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- Paired: Compare stylized outputs against `paired_gt` using metrics like LPIPS, PSNR, SSIM, and H-Corr.
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- Unpaired: Use `unpaired_style` with stylized outputs for qualitative or perceptual studies.
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- Video Evaluation: Apply models to paired_vlog sequences to test temporal consistency and real-time stylization.
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---
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📜 License: cc-by-4.0
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