mlsanityData to 7 Oct 2026

Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution

arXiv 2303.16513 ↗First posted 29 Mar 2023cs.CV cs.AIcited by 51

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Abstract (arXiv)

Implicit neural representation has recently shown a promising ability in representing images with arbitrary resolutions. In this paper, we present a Local Implicit Transformer (LIT), which integrates the attention mechanism and frequency encoding technique into a local implicit image function. We design a cross-scale local attention block to effectively aggregate local features. To further improve representative power, we propose a Cascaded LIT (CLIT) that exploits multi-scale features, along with a cumulative training strategy that gradually increases the upsampling scales during training. We have conducted extensive experiments to validate the effectiveness of these components and analyze various training strategies. The qualitative and quantitative results demonstrate that LIT and CLIT achieve favorable results and outperform the prior works in arbitrary super-resolution tasks.

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). Builds on 43 of its 54 references that are in the map. First posted on arXiv 29 Mar 2023.

Builds on

43 of 54 references.

References · 43

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31 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 24; 2025: 16; 2026: 9.

51 papers.

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  1. 2024Bidirectional Multi-Scale Implicit Neural Representations for Image Derainingcited by 54
  2. 2025Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modelingcited by 47
  3. 2024Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancementcited by 24
  4. 2024Latent Modulated Function for Computational Optimal Continuous Image Representationcited by 21
  5. 2025Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolutioncited by 21
  6. 2024HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolutioncited by 17
  7. 2024CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Datacited by 15
  8. 2024DiffFNO: Diffusion Fourier Neural Operatorcited by 13
  9. 2024S3Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Modelcited by 12
  10. 2024Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusioncited by 10
  11. 2024Arbitrary-Scale Video Super-Resolution with Structural and Textural Priorscited by 9
  12. 2024HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Priorcited by 8
38 more
  1. 2024Boosting Flow-based Generative Super-Resolution Models via Learned Priorcited by 7
  2. 2024HR-INR: Continuous Space-Time Video Super-Resolution via Event Cameracited by 6
  3. 2023Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fieldscited by 5
  4. 2024SSL: A Self-similarity Loss for Improving Generative Image Super-resolutioncited by 5
  5. 2025Rotation Equivariant Arbitrary-scale Image Super-Resolutioncited by 5
  6. 2025Blind Video Super-Resolution based on Implicit Kernelscited by 4
  7. 2024INRetouch: Context Aware Implicit Neural Representation for Photography Retouchingcited by 3
  8. 2025Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolutioncited by 3
  9. 2025StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representationcited by 3
  10. 2025Continuous Space-Time Video Super-Resolution with 3D Fourier Fieldscited by 3
  11. 2024An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolutioncited by 1
  12. 2024Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolutioncited by 1
  13. 2024SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolutioncited by 1
  14. 2024LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolationcited by 1
  15. 2024Multiscale Corrections by Continuous Super-Resolutioncited by 1
  16. 2024Test-time Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution with Variable Fourier Componentscited by 1
  17. 2025Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolutioncited by 1
  18. 2025Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospectscited by 1
  19. 2025Towards Robust and Generalizable Continuous Space-Time Video Super-Resolution with Eventscited by 1
  20. 2025OmniScaleSR: Unleashing Scale-Controlled Diffusion Prior for Faithful and Realistic Arbitrary-Scale Image Super-Resolutioncited by 1
  21. 2025SuperF: Neural Implicit Fields for Multi-Image Super-Resolutioncited by 1
  22. 2026OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolutioncited by 1
  23. 2023Balancing Efficiency and Quality: MoEISR for Arbitrary-Scale Image Super-Resolutioncited by 0
  24. 2024Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolutioncited by 0
  25. 2024M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Maskcited by 0
  26. 2024Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolutioncited by 0
  27. 2024FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Losscited by 0
  28. 2025Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolutioncited by 0
  29. 2025Stroke-based Cyclic Amplifier: Image Super-Resolution at Arbitrary Ultra-Large Scalescited by 0
  30. 2025Attention-Guided Multi-Scale Local Reconstruction for Point Clouds via Masked Autoencoder Self-Supervised Learningcited by 0
  31. 2025BasicAVSR: Arbitrary-Scale Video Super-Resolution via Image Priors and Enhanced Motion Compensationcited by 0
  32. 2026Implicit Neural Representation-Based Continuous Single Image Super-Resolution: An Empirical Benchmarkcited by 0
  33. 2026Single Image Super-Resolution via Bivariate `A Trous Wavelet Diffusioncited by 0
  34. 2026Frequency Decoupled Framework for Screen Content Image Super-Resolutioncited by 0
  35. 2026GB-LSR: Local Spectral Decoding with a Learned Global Bandwidth for Arbitrary-Scale Super-Resolutioncited by 0
  36. 2026Fidelity- and Perception-Aware Local Implicit Attention for Arbitrary-Scale Image Super-Resolutioncited by 0
  37. 2026Adaptive Densification for High-Fidelity and Efficient Sparse Gaussian Splatting in Arbitrary-Scale Super-Resolutioncited by 0
  38. 2026Resonant Brane Splatting for Arbitrary-Scale Super-Resolutioncited by 0

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