Video super-resolution (VSR), with the aim to restore a high-resolution video from its corresponding low-resolution version, is a spatial-temporal sequence prediction problem. Recently, Transformer has been gaining popularity due to its parallel computing ability for sequence-to-sequence modeling. Thu...
本工作分别采用基于CNN的方法BasicVSR和基于transformer的结构PSRT-recurrent,使用隐式对齐方案代替光流后的warp操作,对于BasicVSR,在一阶和二阶双向传播中都使用了对齐.另外所有的隐式对齐模块采用了相同的参数,即在网络中每个像素点的特征只需要对其一次.搜索窗口的大小为2....
CVPR2019: EDVR: Video Restoration with Enhanced Deformable Convolutional Networks CVPR2020: TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution J Cao, 2021: Video Super-Resolution Transformer 可以看到,这样的处理方式一般是设计一个网络架构,并将所有视频帧平行地通过这样的网络架构,做相同...
内容提示: SATVSR: Scenario Adaptive Transformer for Cross Scenarios Video Super-Resolution Yongjie Chen 1,a , Tieru Wu 1* 1 School of Artificial Intelligence, Jilin University, Changchun, China a Email: yjchen20@mails.jlu.edu.cn, * Email: wutr@jlu.edu.cn Abstract. Video Super-Resolution ...
Learning Trajectory-Aware Transformer for Video Super-Resolution Chengxu Liu, Huan Yang, Jianlong Fu, Xueming Qian CVPR 2022|June 2022 Oral Download BibTex Video super-resolution (VSR) aims to restore a sequence of high-resolution (HR) frames from their low-resolution (LR) counterparts. ...
FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution TTSR: Learning Texture Transformer Network for Image Super-Resolution CKDN: Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment ...
However, the small size of sensors and their limited lighting conditions lead to low-quality and low-resolution endoscopic images and videos. In this paper, we propose a stereo endoscopic video super-resolution method using transformer with a hybrid attention mechanism named HA-VSR. Stereo video ...
We propose a novel Trajectory-aware Transformer for Video Super-Resolution (TTVSR). In particular, we formulate video frames into several pre-aligned trajectories which consist of continuous visual tokens. For a query token, self-attention is only learned on relevant visual tokens along spatio-...
TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution TTSR: Learning Texture Transformer Network for Image Super-Resolution CKDN: Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment Citation If you find the code and pre-trained models useful for your...
* Rethinking Alignment in Video Super-Resolution Transformers* 链接: arxiv.org/abs/2207.0849* 作者: Shuwei Shi,Jinjin Gu,Liangbin Xie,Xintao Wang,Yujiu Yang,Chao Dong* 摘要: 相邻帧的比对被认为是视频超分辨率(VSR)中的重要操作。高级VSR模型,包括最新的VSR变形金刚,通常配备精心设计的对齐模块。但是,...