Video Super-Resolution

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

16 leaderboard tables shown for this task, 16 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. 10 shown of 16 until expanded.

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

16 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 153 papers with code (281 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.

• Image Super-Resolution Using Deep Convolutional Networks
  31 Dec 2014 60 repositories listed Syntology ran 7 of 27 samples · 20 unverified · 7 pointer-only (licence)
  We further show that traditional sparse-coding-based SR methods can also be viewed as a deep convolutional network.
• Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
  16 Sep 2016 47 repositories listed Syntology ran 4 of 20 samples · 16 unverified · 1 pointer-only (licence)
  This means that the super-resolution (SR) operation is performed in HR space.
• ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
  1 Sep 2018 46 repositories listed Syntology ran 8 of 44 samples · 36 unverified
  To further enhance the visual quality, we thoroughly study three key components of SRGAN - network architecture, adversarial loss and perceptual loss, and improve each of them to derive an Enhanced SRGAN (ESRGAN).
• XGBoost: A Scalable Tree Boosting System
  9 Mar 2016 28 repositories listed Syntology ran 0 of 17 samples · 17 unverified
  In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges.
• Deep Back-Projection Networks For Super-Resolution
  7 Mar 2018 16 repositories listed Syntology ran 6 of 14 samples · 8 unverified
  The feed-forward architectures of recently proposed deep super-resolution networks learn representations of low-resolution inputs, and the non-linear mapping from those to high-resolution output.
• Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
  23 Nov 2018 13 repositories listed Syntology ran 2 of 25 samples · 23 unverified
  Additionally, we propose a first set of metrics to quantitatively evaluate the accuracy as well as the perceptual quality of the temporal evolution.
• EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
  7 May 2019 11 repositories listed Syntology ran 5 of 19 samples · 14 unverified
  In this work, we propose a novel Video Restoration framework with Enhanced Deformable networks, termed EDVR, to address these challenges.
• SwinIR: Image Restoration Using Swin Transformer
  23 Aug 2021 9 repositories listed Syntology ran 30 of 45 samples · 15 unverified · 5 pointer-only (licence)
  In particular, the deep feature extraction module is composed of several residual Swin Transformer blocks (RSTB), each of which has several Swin Transformer layers together with a residual connection.
• Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
  22 Jul 2021 8 repositories listed Syntology ran 3 of 9 samples · 6 unverified
  Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.
• Accurate Image Super-Resolution Using Very Deep Convolutional Networks
  14 Nov 2015 8 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  We present a highly accurate single-image super-resolution (SR) method.
• Recurrent Back-Projection Network for Video Super-Resolution
  25 Mar 2019 7 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  We proposed a novel architecture for the problem of video super-resolution.
• BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
  3 Dec 2020 6 repositories listed
  Video super-resolution (VSR) approaches tend to have more components than the image counterparts as they need to exploit the additional temporal dimension.
• DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
  1 Dec 2020 5 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We propose a method that, given a single image with its estimated background, outputs the object's appearance and position in a series of sub-frames as if captured by a high-speed camera (i.
• Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
  18 Apr 2023 4 repositories listed Syntology ran 18 of 26 samples · 8 unverified · 1 pointer-only (licence)
  We first pre-train an LDM on images only; then, we turn the image generator into a video generator by introducing a temporal dimension to the latent space diffusion model and fine-tuning on encoded image sequences, i.
• Recurrent Video Restoration Transformer with Guided Deformable Attention
  5 Jun 2022 4 repositories listed Syntology ran 7 of 14 samples · 7 unverified · 5 pointer-only (licence)
  Specifically, RVRT divides the video into multiple clips and uses the previously inferred clip feature to estimate the subsequent clip feature.
• Video Enhancement with Task-Oriented Flow
  24 Nov 2017 4 repositories listed
  Many video enhancement algorithms rely on optical flow to register frames in a video sequence.
• Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
  11 Dec 2023 3 repositories listed
  Text-based diffusion models have exhibited remarkable success in generation and editing, showing great promise for enhancing visual content with their generative prior.
• BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
  27 Apr 2021 3 repositories listed
  We show that by empowering the recurrent framework with the enhanced propagation and alignment, one can exploit spatiotemporal information across misaligned video frames more effectively.
• Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
  25 Mar 2021 3 repositories listed Syntology ran 7 of 12 samples · 5 unverified
  It is widely acknowledged that single image super-resolution (SISR) methods would not perform well if the assumed degradation model deviates from those in real images.
• 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…
• Intra-frame Object Tracking by Deblatting
  9 May 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We propose a novel approach called Tracking by Deblatting based on the observation that motion blur is directly related to the intra-frame trajectory of an object.
• Spatio-Temporal Distortion Aware Omnidirectional Video Super-Resolution
  15 Oct 2024 2 repositories listed
  Omnidirectional video (ODV) can provide an immersive experience and is widely utilized in the field of virtual reality and augmented reality.
• LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
  26 Sep 2023 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  To this end, we propose LaVie, an integrated video generation framework that operates on cascaded video latent diffusion models, comprising a base T2V model, a temporal interpolation model, and a video super-resolution…
• Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
  10 Apr 2023 2 repositories listed
  To explore the global dependency in the entire frame sequence, a Long-term Temporal Difference Module (L-TDM) is proposed, where the differences between forward and backward segments are incorporated and activated to…
• Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
  15 Mar 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  To reconcile such, we propose a novel method for high-quality and efficient video resolution upscaling tasks, which leverages the spatial-temporal information to accurately divide video into chunks, thus keeping the…
• Progressive Training of A Two-Stage Framework for Video Restoration
  21 Apr 2022 2 repositories listed
  As a widely studied task, video restoration aims to enhance the quality of the videos with multiple potential degradations, such as noises, blurs and compression artifacts.
• COMISR: Compression-Informed Video Super-Resolution
  4 May 2021 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Most video super-resolution methods focus on restoring high-resolution video frames from low-resolution videos without taking into account compression.
• A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution
  24 Aug 2020 2 repositories listed
  Spherical videos, also known as \ang{360} (panorama) videos, can be viewed with various virtual reality devices such as computers and head-mounted displays.
• Revisiting Temporal Modeling for Video Super-resolution
  13 Aug 2020 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Video super-resolution plays an important role in surveillance video analysis and ultra-high-definition video display, which has drawn much attention in both the research and industrial communities.
• Video Super-Resolution with Recurrent Structure-Detail Network
  2 Aug 2020 2 repositories listed
  Most video super-resolution methods super-resolve a single reference frame with the help of neighboring frames in a temporal sliding window.

Syntology lines on 21 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.