Space-time Video Super-resolution

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (24 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
  26 Feb 2020 3 repositories listed Syntology ran 2 of 8 samples · 6 unverified
  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…
• EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with Events
  7 May 2025 1 repository listed
  Continuous space-time video super-resolution (C-STVSR) endeavors to upscale videos simultaneously at arbitrary spatial and temporal scales, which has recently garnered increasing interest.
• 3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-Resolution
  24 Jul 2024 1 repository listed
  The discriminative network uses a two-branch structure to handle details and motion information, making the generated results more accurate.
• HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera
  22 May 2024 1 repository listed
  However, the highly ill-posed nature of C-STVSR limits the effectiveness of current INR-based methods: they assume linear motion between frames and use interpolation or feature warping to generate features at arbitrary…
• Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
  26 Oct 2023 1 repository listed
  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).
• MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution
  16 Jul 2023 1 repository listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  We motivate the use of forward motion from the perspective of learning individual motion trajectories, as opposed to learning a mixture of motion trajectories with backward motion.
• Towards Interpretable Video Super-Resolution via Alternating Optimization
  21 Jul 2022 1 repository listed
  These issues can be alleviated by a cascade of three separate sub-tasks, including video deblurring, frame interpolation, and super-resolution, which, however, would fail to capture the spatial and temporal correlations…
• Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction
  18 Jul 2022 1 repository listed
  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.
• VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
  9 Jun 2022 1 repository listed Syntology ran 6 of 11 samples · 5 unverified · 11 pointer-only (licence)
  The learned implicit neural representation can be decoded to videos of arbitrary spatial resolution and frame rate.
• RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
  27 Mar 2022 1 repository listed Syntology ran 8 of 14 samples · 6 unverified · 14 pointer-only (licence)
  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.
• STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
  14 Mar 2022 1 repository listed
  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.
• VRT: A Video Restoration Transformer
  28 Jan 2022 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Besides, parallel warping is used to further fuse information from neighboring frames by parallel feature warping.
• Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
  21 Apr 2021 1 repository listed Syntology ran 1 of 6 samples · 5 unverified
  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.
• Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
  15 Apr 2021 1 repository listed
  A na\"ive method is to decompose it into two sub-tasks: video frame interpolation (VFI) and video super-resolution (VSR).
• Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling
  12 Apr 2021 1 repository listed
  Input LR frames are super-resolved using a state-of-the-art Video Super-Resolution method.
• FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal Loss
  16 Dec 2019 1 repository listed
  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.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.