Keyword [VESPCN] [Pixel Shuffle] [Optical Flow] [FlowNet]
Caballero J, Ledig C, Aitken A, et al. Real-time video super-resolution with spatio-temporal networks and motion compensation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017: 4778-4787.
1. Overview
基于ESPCN，论文
- 扩展到spatial-temporal
- 使用STN进行motion compensation
1.1. 模型
1.2. Loss Function
1.3. Fusion方案
1.4. 数据集
- CDVL. 115 uncompressed full HD videos
1.5. 评价指标
- MOVIE. Motion-based Video Integrity Evaluation
The MOVIE index was designed as a metric measuring video quality that correlates with human perception and incorporates a notion of temporal consistency.
1.6. 实验结果
- L. Layer number
- E5. Early fusion with 5 frame
- MC. Motion compensation
