Video super-resolutionVideo frame interpolationSpace–time upsamplingJilin-1 satellite videoDeep learningSatellite video is an emerging type of earth observation tool, which has attracted increasing attention because of its application in dynamic analysis. However, most studies only focus on improving the ...
Space-Time Distillation for Video Super-Resolution —— Supplementary Material —— Zeyu Xiao Xueyang Fu Jie Huang Zhen Cheng Zhiwei Xiong University of Science and Technology of China This supplementary document is organized as follows: Sec. 1 provides the details of the ConvLSTM. Sec. 2 ...
Space-time video super-resolution (STVSR) is the task of interpolating videos with both Low Frame Rate (LFR) and Low Resolution (LR) to produce High-Frame-Rate (HFR) and also High-Resolution (HR) counterparts. The existing methods based on Convolutional Neural Network...
The goal of Space-Time Video Super-Resolution (STVSR) is to simultaneously increase the spatial resolution and frame rate of low-resolution, low-frame-rate video. In response to the problem that the STVSR method does not fully consider the spatio-temporal correlation between successive video fram...
CVPR23 -A Dynamic Multi-Scale Voxel Flow Network for Video Prediction If you think this project is helpful, please feel free to leave a star or cite our paper: @inproceedings{huang2024safa, title={Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution}, author={Huang...
Increasing space-time resolution in video - Shechtman, Irani - 2002 () Citation Context ...ered, we call it “multi-frame superresolution” or simply super-resolution [12, 1]. There are other kinds of super-resolution currently on study, for example, the super-resolution enhancement of ...
video frames, which makes the two-stage methods have large model sizes and thus be time-consuming. To overcome the problems, we propose a one-stage space-time video super-resolution framework, which directly synthesizes an HR slow-motion video from an LFR, LR video. Rather than synthesizing ...
Space-time video super-resolution (STVSR) is the task of interpolating videos with both Low Frame Rate (LFR) and Low Resolution (LR) to produce a High-Frame-Rate (HFR) and also High-Resolution (HR) counterpart. The existing methods based on Convolutional Neural Network (CNN) succeed in ac...
Space-time video super-resolution (STVSR) aims to increase the spatial and temporal resolutions of low-resolution and low-frame-rate videos. Recently, deformable convolution based methods have achieved promising STVSR performance, but they could only infer the intermediate frame pre-defined in the ...
The Space-Time Video Super-Resolution (STVSR) task aims to enhance the visual quality of videos, by simultaneously performing video frame interpolation (VFI) and video super-resolution (VSR). However, facing the challenge of the additional temporal dimension and scale inconsistency, most existing ST...