Video super-resolutionSpatial-temporal transformerAttention mechanismMotion compensationVideo super-resolution (VSR) aims to recover the high-resolution (HR) contents from the low-resolution (LR) observations relying on compositing the spatial–temporal information in the LR frames. It is crucial to ...
具体计算和transformer中的注意力机制类似,在获取query,key和value向量时都嵌入了位置编码,这个在下面介绍。 3.2 位置编码 之前的工作指出,通过将2D的坐标扩展到高维周期性的位置编码可以增强网络在高频域的能力,本工作为了表示亚像素的信息,将光流得到的offsets通过余弦函数编码为位置编码。对于query向量编码器,主要编码...
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 spati...
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...
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 research, please consider citing our paper. 😊 ...
An image frame is selected the plurality of different image frames that has a closest similarity value from among the plurality of key tokens, and a super-resolution image frame is generated at a target time step as a function of an index query token, a value embedding of the selected ...
Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution 2023, Proceedings of the IEEE International Conference on Computer Vision Cross-Frame Transformer-Based Spatio-Temporal Video Super-Resolution 2022, IEEE Transactions on Broadcasting Satellite Video Super-Resol...
* 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,...
当然在现阶段，因为视频是一个这个维度比较高的领域，那么它对效率的要求也更高一些，可能还是需要仍然使用 super resolution 一段时间，然后架构上是否通用，目前我们用的架构在里面其实是一个 mask 的 transformer。然后做 super resolution，因为它会更快一些。它又不是 Diffusion， 它比 Diffusion 更快一些。而常见...
当然在现阶段,因为视频是一个这个维度比较高的领域,那么它对效率的要求也更高一些,可能还是需要仍然使用 super resolution 一段时间,然后架构上是否通用,目前我们用的架构在里面其实是一个 mask 的 transformer。然后做 super resolution,因为它会更快一些。它又不是 Diffusion, 它比 Diffusion 更快一些。而常见的...