| EvTexture: Event-driven Texture Enhancement for Video Super-Resolution | ✓ Link | 0.8983 | 29.78 | | EvTexture+ | 2024-06-19 |
| EvTexture: Event-driven Texture Enhancement for Video Super-Resolution | ✓ Link | 0.8909 | 29.51 | | EvTexture | 2024-06-19 |
| Enhancing Video Super-Resolution via Implicit Resampling-based Alignment | ✓ Link | 0.8517 | 28.26 | | IART | 2023-04-29 |
| Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention | ✓ Link | 0.8507 | 28.20 | | MIA-VSR | 2024-01-12 |
| Collaborative Feedback Discriminative Propagation for Video Super-Resolution | ✓ Link | 0.8503 | 28.18 | | CFD-PSRT | 2024-04-06 |
| Rethinking Alignment in Video Super-Resolution Transformers | ✓ Link | 0.8485 | 28.07 | | PSRT-recurrent | 2022-07-18 |
| Recurrent Video Restoration Transformer with Guided Deformable Attention | ✓ Link | 0.8462 | 27.99 | | RVRT | 2022-06-05 |
| VRT: A Video Restoration Transformer | ✓ Link | 0.8425 | 27.93 | | VRT | 2022-01-28 |
| Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution | | 0.8420 | 27.44 | | SATeCo | 2024-03-25 |
| BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment | ✓ Link | 0.8400 | 27.79 | | BasicVSR++ | 2021-04-27 |
| Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation | ✓ Link | 0.8319 | 27.33 | | VSR-DUF | 2018-06-01 |
| BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond | ✓ Link | 0.8279 | 27.39 | | IconVSR | 2020-12-03 |
| EDVR: Video Restoration with Enhanced Deformable Convolutional Networks | ✓ Link | 0.8264 | 27.35 | | EDVR | 2019-05-07 |
| BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond | ✓ Link | 0.8251 | 27.24 | | BasicVSR | 2020-12-03 |
| Recurrent Back-Projection Network for Video Super-Resolution | ✓ Link | 0.8180 | 27.12 | | RBPN/6-PF | 2019-03-25 |
| Detail-revealing Deep Video Super-resolution | ✓ Link | 0.774 | 25.88 | | DRDVSR | 2017-04-10 |
| Deep Video Super-Resolution using HR Optical Flow Estimation | ✓ Link | 0.772 | 26 | | SOF-VSR | 2020-01-06 |
| Learning for Video Super-Resolution through HR Optical Flow Estimation | ✓ Link | 0.771 | 26.01 | 4.32 | SOF-VSR | 2018-09-23 |
| Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation | | 0.7557 | 25.35 | 5.82 | VESPCN | 2016-11-16 |
| Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network | ✓ Link | 0.7394 | 25.06 | 6.54 | ESPCN | 2016-09-16 |
| Deep Back-Projection Networks For Super-Resolution | ✓ Link | 0.737 | 25.37 | | DBPN | 2018-03-07 |
| Image Super-Resolution Using Deep Convolutional Networks | ✓ Link | 0.7158 | 24.68 | 6.9 | SRCNN | 2014-12-31 |
| Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution | | 0.662 | 24.43 | | BRCN | 2015-12-01 |
| Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation | | 0.6548 | 23.82 | 9.31 | bicubic | 2016-11-16 |
| VideoGigaGAN: Towards Detail-rich Video Super-Resolution | | | 27.04 | | VideoGigaGAN | 2024-04-18 |
| Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation | ✓ Link | | 25.89 | | TecoGAN⊖ | 2018-11-23 |
| Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation | ✓ Link | | 25.57 | | TecoGAN | 2018-11-23 |