Research map / Video / Video segmentation and tracking
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use mutual cycle-projected spatial-temporal learning rather than the strongest listed one-stage baseline | CycMu-Net · UCF101 and Vimeo90K, ST-VSR at 2×, 4×, and 8× | PSNR: 32.211 -> 32.258; 33.298 -> 33.545; 28.988 -> 29.020; 30.699 -> 30.750; 25.424 -> 25.486; 26.994 -> 27.062 | Helped |
| add deformable convolution for implicit frame interpolation (ablation) | CycMu-Net feature interpolation · Vimeo90K 4× ST-VSR | PSNR: 30.170 -> 30.510 | Helped |
| add plain projection units without up-down sampling (ablation) | Model (b): DFI · UCF101 and Vimeo90K 4× ST-VSR | PSNR: 28.926 -> 28.940; 30.510 -> 30.544 | Helped |
| replace plain projections with cycle-projected up- and down-projection units (ablation) | Model (b): DFI · UCF101 and Vimeo90K 4× ST-VSR | PSNR: 28.926 -> 28.996; 30.510 -> 30.650 | Helped |
| increase the projection-unit count from 2 to 6 (ablation) | CycMu-Net · UCF101 and Vimeo90K 4× ST-VSR | PSNR: 28.939 -> 29.020; 30.480 -> 30.750 | Helped |
| increase the projection-unit count from 6 to 10 (ablation) | CycMu-Net · UCF101 and Vimeo90K 4× ST-VSR | PSNR: 29.020 -> 29.044; 30.750 -> 30.791 | Helped |
| use CycMu-Net rather than EDVR for S-VSR | CycMu-Net · Vimeo90K S-VSR | PSNR: 32.558 -> 32.472 | Hurt |
| use CycMu-Net rather than AdaCoF++ for T-VSR | CycMu-Net · UCF101 T-VSR | PSNR: 38.387 -> 38.850 | Helped |
| use CycMu-Net rather than EDSC for T-VSR | CycMu-Net · Vimeo90K T-VSR | PSNR: 37.326 -> 39.074 | Helped |
Closest papers by meaning
- Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolution (AAAI 2023 · similarity 0.93)
- Time Without Time: Pseudo-Temporal Representation for Space-Time Super-Resolution (CVPR 2026 · similarity 0.93)
- BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution (CVPR 2025 · similarity 0.90)
- Sequence Matters: Harnessing Video Models in 3D Super-Resolution (AAAI 2025 · similarity 0.88)
- One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution (NeurIPS 2025 · similarity 0.88)
- EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with Events (CVPR 2025 · similarity 0.88)
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