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Space-Time-Aware Multi-Resolution Video Enhancement

arXiv 2003.13170 ↗First posted 30 Mar 2020cs.CVcited by 48

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Abstract (arXiv)

We consider the problem of space-time super-resolution (ST-SR): increasing spatial resolution of video frames and simultaneously interpolating frames to increase the frame rate. Modern approaches handle these axes one at a time. In contrast, our proposed model called STARnet super-resolves jointly in space and time. This allows us to leverage mutually informative relationships between time and space: higher resolution can provide more detailed information about motion, and higher frame-rate can provide better pixel alignment. The components of our model that generate latent low- and high-resolution representations during ST-SR can be used to finetune a specialized mechanism for just spatial or just temporal super-resolution. Experimental results demonstrate that STARnet improves the performances of space-time, spatial, and temporal video super-resolution by substantial margins on publicly available datasets.

Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Mar 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 12; 2022: 9; 2023: 8; 2024: 6; 2025: 9; 2026: 4.

48 papers.

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  1. 2022VRT: A Video Restoration Transformercited by 219
  2. 2021XVFI: eXtreme Video Frame Interpolationcited by 123
  3. 2022VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolutioncited by 101
  4. 2024VEnhancer: Generative Space-Time Enhancement for Video Generationcited by 64
  5. 2021Temporal Modulation Network for Controllable Space-Time Video Super-Resolutioncited by 54
  6. 2023Video Event Restoration Based on Keyframes for Video Anomaly Detectioncited by 54
  7. 2022RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolutioncited by 44
  8. 2021SRWarp: Generalized Image Super-Resolution under Arbitrary Transformationcited by 26
  9. 2021COMISR: Compression-Informed Video Super-Resolutioncited by 26
  10. 2021Learning for Unconstrained Space-Time Video Super-Resolutioncited by 18
  11. 2021DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boostingcited by 17
  12. 2025PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancementcited by 17
36 more
  1. 2021NTIRE 2021 Challenge on Video Super-Resolutioncited by 15
  2. 2022Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learningcited by 12
  3. 2025NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Resultscited by 12
  4. 2021Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsamplingcited by 9
  5. 2025BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-Resolutioncited by 9
  6. 2021Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolutioncited by 8
  7. 2021MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolutioncited by 8
  8. 2023Video Frame Interpolation with Densely Queried Bilateral Correlationcited by 8
  9. 2023Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolutioncited by 8
  10. 2025AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolationcited by 8
  11. 2023Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Imagescited by 7
  12. 2022STDAN: Deformable Attention Network for Space-Time Video Super-Resolutioncited by 6
  13. 2023NTIRE 2023 Quality Assessment of Video Enhancement Challengecited by 6
  14. 2024HR-INR: Continuous Space-Time Video Super-Resolution via Event Cameracited by 6
  15. 2021Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolutioncited by 5
  16. 2023Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancementscited by 5
  17. 2021Learning-Based Video Coding with Joint Deep Compression and Enhancementcited by 4
  18. 2022You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolutioncited by 3
  19. 2024Burst Super-Resolution with Diffusion Models for Improving Perceptual Qualitycited by 3
  20. 2024Space-Time Video Super-resolution with Neural Operatorcited by 3
  21. 2022Learning Spatio-Temporal Downsampling for Effective Video Upscalingcited by 2
  22. 2022Video Frame Interpolation with Transformercited by 2
  23. 2022Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interactioncited by 2
  24. 2025Efficient Burst Super-Resolution with One-step Diffusioncited by 2
  25. 2025MambaOVSR: Multiscale Fusion with Global Motion Modeling for Chinese Opera Video Super-Resolutioncited by 2
  26. 2024Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolutioncited by 1
  27. 2025Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospectscited by 1
  28. 2025Towards Robust and Generalizable Continuous Space-Time Video Super-Resolution with Eventscited by 1
  29. 2026Taming Real-World Space-Time Video Super-Resolution with One-Step Diffusioncited by 1
  30. 2026PolarVSR: A Unified Framework and Benchmark for Continuous Space-Time Polarization Video Reconstructioncited by 1
  31. 2023Continuous Space-Time Video Super-Resolution Utilizing Long-Range Temporal Informationcited by 0
  32. 2023NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing Frameworkcited by 0
  33. 2024Time-series Initialization and Conditioning for Video-agnostic Stabilization of Video Super-Resolution using Recurrent Networkscited by 0
  34. 2025Joint Video Enhancement with Deblurring, Super-Resolution, and Frame Interpolation Networkcited by 0
  35. 2026GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splattingcited by 0
  36. 2026DiffST: Spatiotemporal-Aware Diffusion for Real-World Space-Time Video Super-Resolutioncited by 0