TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution
University of Rochester · Universidad del Noreste
Abstract
Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low-resolution (LR) frame (reference frame) and multiple neighboring frames (supporting frames). Due to varying motion of cameras or objects, the reference frame and each support frame are not aligned. Therefore, temporal alignment is a challenging yet important problem for VSR. Previous VSR methods usually utilize optical flow between the reference frame and each supporting frame to warp the supporting frame for temporal alignment. However, both inaccurate flow and the image-level warping strategy will lead to artifacts in the warped supporting frames. To overcome the limitation, we…
Citation impact
- FWCI
- 39.62
- Percentile
- 100%
- References
- 55
Authors
4Topics & keywords
- Computer science
- Computer vision
- Reference frame
- Artificial intelligence
- Frame (networking)
- Optical flow
- Residual frame
- Inter frame