Research map / Video / Video segmentation and tracking
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed tensor-prior model instead of the strongest listed baseline | Video rain-streak removal · Six synthetic videos, heavy and light rain | Average PSNR: 33.632 vs 32.339; 37.985 vs 32.555; 34.203 vs 33.599; 36.761 vs 31.762; 36.352 vs 35.257; 34.525 vs 32.362; 40.532 vs 35 | Helped |
| Add rain-directional TV sparsity for streaks (ablation) | Proposed model · Six synthetic videos | Removal performance | Hurt |
| Add an l1 sparsity term for rain streaks (ablation) | Proposed model · Six synthetic videos | Removal performance | Hurt |
| Add rain-perpendicular TV smoothness for the clean video (ablation) | Proposed model · Six synthetic videos | Removal performance | Hurt |
| Add temporal-difference regularization for the clean video (ablation) | Proposed model · Six synthetic videos | Removal performance | Hurt |
| Add tensor nuclear norm for clean-video correlation (ablation) | Proposed model · Six synthetic videos | Removal performance | Hurt |
Closest papers by meaning
- Video Rain Streak Removal by Multiscale Convolutional Sparse Coding (CVPR 2018 · similarity 0.92)
- Rain Streak Removal Using Layer Priors (CVPR 2016 · similarity 0.90)
- Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence (CVPR 2020 · similarity 0.90)
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- Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining (CVPR 2025 · similarity 0.86)
- Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining (CVPR 2024 · similarity 0.85)
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