Video Super Resolution On Vid4 4X Upscaling 1
Metriken
PSNR
SSIM
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | PSNR | SSIM |
|---|---|---|
| basicvsr-the-search-for-essential-components | 28.04 | 0.8570 |
| vrt-a-video-restoration-transformer | 29.42 | 0.8795 |
| video-enhancement-with-task-oriented-flow | 25.85 | 0.7659 |
| basicvsr-the-search-for-essential-components | 27.96 | 0.8553 |
| frame-recurrent-video-super-resolution | 26.69 | 0.8103 |
| efficient-video-super-resolution-through | 27.48 | 0.8388 |
| learning-spatiotemporal-frequency-transformer-1 | 28.7 | 0.869 |
| progressive-fusion-video-super-resolution | 27.16 | 0.8355 |
| deep-video-super-resolution-network-using | 27.38 | 0.8329 |
| learning-trajectory-aware-transformer-for | 28.40 | 0.8643 |
| basicvsr-improving-video-super-resolution | 29.04 | 0.8753 |
| video-super-resolution-with-temporal-group-1 | 27.63 | 0.8423 |
| revisiting-temporal-modeling-for-video-super | 27.69 | 0.8488 |
| video-super-resolution-with-recurrent | 27.92 | 0.8505 |
| recurrent-back-projection-network-for-video | 27.17 | 0.8205 |
| edvr-video-restoration-with-enhanced | 27.85 | 0.8503 |
| omniscient-video-super-resolution | 28.41 | 0.8724 |
| recurrent-video-restoration-transformer-with | 29.54 | 0.8810 |