Research map / Image generation / Image restoration
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use pyramid cross-attention alignment and joint HDR denoising/fusion instead of HDR-Transformer | HDR reconstruction on Mobile-HDR · Mobile-HDR test set, raw PSNR-l | PSNR-l: 35.42 -> 36.37 | Helped |
| add pyramid cross-attention alignment (ablation) | Joint-HDRDN · Mobile-HDR test set, raw | PSNR-l: 35.26 -> 36.37 | Helped |
| add attention transfer to pyramid cross-attention alignment (ablation) | Joint-HDRDN · Mobile-HDR test set, raw | PSNR-l: 36.00 -> 36.37 | Helped |
| add attention fusion after alignment (ablation) | Joint-HDRDN · Mobile-HDR test set, raw | PSNR-µ: 38.71 -> 38.92 | Helped |
| train on Mobile-HDR rather than Sig17 DSLR data | HDR-Transformer · Mobile-HDR test set, sRGB | PSNR-l: 23.59 -> 36.67 | Helped |
| train on Mobile-HDR rather than Sig17 DSLR data | Joint-HDRDN · Mobile-HDR test set, sRGB | PSNR-l: 23.45 -> 37.46 | Helped |
Closest papers by meaning
- Real-World Mobile Image Denoising Dataset with Efficient Baselines (CVPR 2024 · similarity 0.88)
- Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network (CVPR 2024 · similarity 0.87)
- High Dynamic Range Novel View Synthesis with Single Exposure (ICML 2025 · similarity 0.86)
- Single Shot HDR Recovery via a Video Diffusion Prior (NeurIPS 2026 · similarity 0.86)
- HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting (NeurIPS 2024 · similarity 0.85)
- Generating Content for HDR Deghosting from Frequency View (CVPR 2024 · similarity 0.85)
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