Research map / Video / Video segmentation and tracking
Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use RNN-MBP instead of HINet | GOPRO deblurring · GOPRO | PSNR: 32.71 -> 33.32 | Helped |
| Train RNN-MBP on RBVD rather than GOPRO | RNN-MBP · RBVD | PSNR: 22.826 -> 26.555 | Helped |
| Add multi-scale bidirectional propagation to the basic RNN (ablation) | Baseline video deblurring model · GOPRO | PSNR: 31.443 -> 32.087 | Helped |
| Add SpyNet alignment to the basic RNN (ablation) | Baseline video deblurring model · GOPRO | PSNR: 31.443 -> 30.689 | Hurt |
| Add deformable alignment layers to the basic RNN (ablation) | Baseline video deblurring model · GOPRO | PSNR: 31.443 -> 26.234 | Hurt |
| Add Target Frame Re-constructor to Baseline+MBP (ablation) | Baseline+MBP · GOPRO | PSNR: 32.087 -> 33.319 | Helped |
| Add Target Frame Re-constructor to Baseline+MBP (ablation) | Baseline+MBP · GOPRO | SSIM: 0.9524 -> 0.9627 | Helped |
Closest papers by meaning
- Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring (CVPR 2019 · similarity 0.90)
- Scale-Recurrent Network for Deep Image Deblurring (CVPR 2018 · similarity 0.90)
- Deep Video Deblurring for Hand-Held Cameras (CVPR 2017 · similarity 0.89)
- Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training (CVPR 2020 · similarity 0.89)
- Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring (CVPR 2024 · similarity 0.88)
- Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring (CVPR 2024 · similarity 0.88)
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