Research map / Image generation / Image restoration
Region-Adaptive Dense Network for Efficient Motion Deblurring
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use deformable (spatially adaptive offset) units in dense decoder modules instead of ordinary convs (ablation) | RADN · GoPro test | PSNR: 31.58 -> 31.76 | Helped |
| add self-attention (SA) module (ablation) | RADN4 · GoPro test | PSNR: 31.42 -> 31.58 | Helped |
| use dense modules instead of bottleneck blocks (ablation) | RADN · GoPro test | PSNR: 31.17 -> 31.42 | Helped |
| pretrain encoder (DenseNet) (ablation) | RADN2 · GoPro test | PSNR: 30.77 -> 31.17 | Helped |
| replace 6 convs with deformable layers (ablation) | residual baseline · GoPro test | PSNR: 29.8 -> 31.05 | Helped |
| add SA module to plain CNN (ablation) | residual baseline · GoPro test | PSNR: 29.8 -> 30.54 | Helped |
| add SA module on top of 6 deformable layers (ablation) | residual baseline · GoPro test | PSNR: 31.05 -> 31.13 | Helped |
| add geometric self-ensemble at test time | RADN(Final) · GoPro test | PSNR: 31.76 -> 32.15 | Helped |
| RADN vs Stack(4)-DMPHN | motion deblurring · GoPro test | runtime: 700 -> 38 | Helped |
Closest papers by meaning
- Parameterized Blur Kernel Prior Learning for Local Motion Deblurring (CVPR 2025 · similarity 0.90)
- Adaptive Window Pruning for Efficient Local Motion Deblurring (ICLR 2024 · similarity 0.90)
- Motion-adaptive Transformer for Event-based Image Deblurring (AAAI 2025 · similarity 0.89)
- Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring (CVPR 2024 · similarity 0.89)
- BlurDM: A Blur Diffusion Model for Image Deblurring (NeurIPS 2025 · similarity 0.88)
- Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization (CVPR 2024 · similarity 0.88)
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