Research map / 3D vision / Depth and stereo
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SVIN's adaptive multi-scale motion network instead of VoxelMorph | Spatiotemporal motion estimation · 4D-C-CT | PSNR: 27.10 -> 33.17 | Helped |
| Use SVIN's adaptive multi-scale motion network instead of VoxelMorph | Spatiotemporal motion estimation · ACDC | PSNR: 38.06 -> 38.93 | Helped |
| Use SVIN instead of RVLI for volumetric interpolation | 4D cardiac interpolation · 4D-C-CT | PSNR: 28.70 -> 30.15 | Helped |
| Use SVIN instead of RVLI for volumetric interpolation | 4D cardiac interpolation · ACDC | PSNR: 35.66 -> 41.87 | Helped |
| Interpolate later rather than earlier intermediate time points | SVIN · 4D-C-CT | PSNR: 29.45 -> 31.52 | Helped |
| Interpolate later rather than earlier intermediate time points | SVIN · ACDC | PSNR: 39.34 -> 45.86 | Helped |
Closest papers by meaning
- Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images (CVPR 2024 · similarity 0.88)
- Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction (AAAI 2025 · similarity 0.85)
- Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding (NeurIPS 2024 · similarity 0.83)
- LiFT: Lifted Inter-slice Feature Trajectories for 3D Image Generation from 2D Generators (NeurIPS 2026 · similarity 0.83)
- Learning General-purpose Biomedical Volume Representations using Randomized Synthesis (ICLR 2025 · similarity 0.83)
- LIM: Large Interpolator Model for Dynamic Reconstruction (CVPR 2025 · similarity 0.82)
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