Space-time Video Super-resolution

11 papers with code • 2 benchmarks • 0 datasets

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Use these libraries to find Space-time Video Super-resolution models and implementations

Most implemented papers

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

Mukosame/Zooming-Slow-Mo-CVPR-2020 CVPR 2020

Rather than synthesizing missing LR video frames as VFI networks do, we firstly temporally interpolate LR frame features in missing LR video frames capturing local temporal contexts by the proposed feature temporal interpolation network.

FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal Loss

JihyongOh/FISR 16 Dec 2019

In this paper, we first propose a joint VFI-SR framework for up-scaling the spatio-temporal resolution of videos from 2K 30 fps to 4K 60 fps.

Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling

saikatdutta/FMU_STSR 12 Apr 2021

Input LR frames are super-resolved using a state-of-the-art Video Super-Resolution method.

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

Mukosame/Zooming-Slow-Mo-CVPR-2020 15 Apr 2021

A na\"ive method is to decompose it into two sub-tasks: video frame interpolation (VFI) and video super-resolution (VSR).

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution

CS-GangXu/TMNet CVPR 2021

To well exploit the temporal information, we propose a Locally-temporal Feature Comparison (LFC) module, along with the Bi-directional Deformable ConvLSTM, to extract short-term and long-term motion cues in videos.

VRT: A Video Restoration Transformer

jingyunliang/vrt 28 Jan 2022

Besides, parallel warping is used to further fuse information from neighboring frames by parallel feature warping.

STDAN: Deformable Attention Network for Space-Time Video Super-Resolution

littlewhitesea/STDAN 14 Mar 2022

Second, we put forward a spatial-temporal deformable feature aggregation (STDFA) module, in which spatial and temporal contexts in dynamic video frames are adaptively captured and aggregated to enhance SR reconstruction.

RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution

llmpass/RSTT CVPR 2022

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.

Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction

yuezijie/stinet-space-time-video-super-resolution 18 Jul 2022

A popular solution is to first increase the frame rate of the video; then perform feature refinement among different frame features; and last increase the spatial resolutions of these features.