Video Super-Resolution via a Spatio-Temporal Alignment Network
Deep convolutional neural network based video super-resolution (SR) models have achieved significant progress in recent years. Existing deep video SR methods usually impose optical flow to wrap the neighboring frames for temporal alignment. However, accurate estimation of optical flow is quite diffi...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 01., Seite 1761-1773
|
|---|
| 1. Verfasser: |
Wen, Weilei
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Ren, Wenqi,
Shi, Yinghuan,
Nie, Yunfeng,
Zhang, Jingang,
Cao, Xiaochun |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2022
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|