Real Dataset
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Radiance Field Reconstruction | Real Dataset Cat scene, 16 lux | PSNR21.64 | 10 | |
| Radiance Field Reconstruction | Real Dataset Badminton scene, 14 lux | PSNR23.7 | 10 | |
| Radiance Field Reconstruction | Real Dataset Panda scene, 17 lux | PSNR20.84 | 10 | |
| Radiance Field Reconstruction | Real Dataset Lion scene, 32 lux | PSNR31.22 | 10 | |
| Radiance Field Reconstruction | Real Dataset House scene, 38 lux | PSNR23.26 | 10 | |
| Radiance Field Reconstruction | Real Dataset Baseball scene, 28 lux | PSNR26.58 | 10 | |
| Novel exposure synthesis (Δt1, Δt3) | Real Dataset | PSNR33.44 | 8 | |
| Novel View Synthesis | Real Dataset 6 outdoor scenes (test) | PSNR27.73 | 8 | |
| 3D human avatar reconstruction | Real Dataset | PSNR27.01 | 6 | |
| Compressive strength prediction | Real Dataset 9 new independent experiments (test) | Mean R20.897 | 5 | |
| Compressive strength prediction | Real Dataset 30% (val) | Mean R^20.83 | 5 | |
| Compressive strength prediction | Real Dataset 70% (train) | Mean R^21 | 5 | |
| Reflection Separation | real dataset | PSNR31.61 | 4 | |
| Robot Manipulation | Real Dataset | Nut Success Rate64 | 3 | |
| Map Representation | Real Dataset | Representation Size (MB)0.62 | 2 |
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