Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling
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Abstract (arXiv)
Arbitrary-scale super-resolution (ASSR) aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs with arbitrary upsampling factors using a single model, addressing the limitations of traditional SR methods constrained to fixed-scale factors (textite.g., × 2). Recent advances leveraging implicit neural representation (INR) have achieved great progress by modeling coordinate-to-pixel mappings. However, the efficiency of these methods may suffer from repeated upsampling and decoding, while their reconstruction fidelity and quality are constrained by the intrinsic representational limitations of coordinate-based functions. To address these challenges, we propose a novel ContinuousSR framework with a Pixel-to-Gaussian paradigm, which explicitly reconstructs 2D continuous HR signals from LR images using Gaussian Splatting. This approach eliminates the need for time-consuming upsampling and decoding, enabling extremely fast arbitrary-scale super-resolution. Once the Gaussian field is built in a single pass, ContinuousSR can perform arbitrary-scale rendering in just 1ms per scale. Our method introduces several key innovations. Through statistical ana
Key facts. Cited by 48 papers in the map (data through 14 Oct 2026). Builds on 47 of its 78 references that are in the map. First posted on arXiv 9 Mar 2025.
Builds on
47 of 78 references.
References · 47
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- 2024A Survey on 3D Gaussian Splattingcited by 224
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- 2021Local Texture Estimator for Implicit Representation Functioncited by 127
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- 2022CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolutioncited by 70
- 2023HAT: Hybrid Attention Transformer for Image Restorationcited by 66
- 2021Structure-Preserving Deraining with Residue Channel Prior Guidancecited by 63
- 2021UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolutioncited by 57
- 2024The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Reportcited by 57
- 2024Towards Realistic Data Generation for Real-World Super-Resolutioncited by 56
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- 2024Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolutioncited by 37
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- 2024GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolutioncited by 32
- 2025Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restorationcited by 28
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- 2024Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolutioncited by 26
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- 2025Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolutioncited by 21
- 2021Efficient and Accurate Multi-scale Topological Network for Single Image Dehazingcited by 14
- 2024S3Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Modelcited by 12
- 2024Arbitrary-Scale Video Super-Resolution with Structural and Textural Priorscited by 9
- 2025GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splattingcited by 9
- 2023How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimizationcited by 6
- 2024Local Implicit Wavelet Transformer for Arbitrary-Scale Super-Resolutioncited by 5
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Citing papers per year: 2025: 21; 2026: 27.
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- 2026Editing on the Generative Manifold: A Theoretical and Empirical Study of General Diffusion-Based Image Editing Trade-offs31 Mar 2026
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- 2025Dual-domain Modulation Network for Lightweight Image Super-Resolution13 Mar 2025
- 2026LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Expertscited by 15
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- 2026Editing on the Generative Manifold: A Theoretical and Empirical Study of General Diffusion-Based Image Editing Trade-offscited by 1
- 2025FADE: Adversarial Concept Erasure in Flow Modelscited by 0
- 2025Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and Robustnesscited by 0
- 2026When Denoising Becomes Unsigning: Theoretical and Empirical Analysis of Watermark Fragility Under Diffusion-Based Image Editingcited by 0
- 2026Editing Away the Evidence: Diffusion-Based Image Manipulation and the Failure Modes of Robust Watermarkingcited by 0
- 2026PhoenixSR: Generative Heterogeneous Distillation Unleashes Efficient Models for Real-World Super-Resolutioncited by 0
- 2026PhoenixSR: Generative Heterogeneous Distillation Unleashes Efficient Models for Real-World Super-Resolution25 Sep 2026
- 2026Editing on the Generative Manifold: A Theoretical and Empirical Study of General Diffusion-Based Image Editing Trade-offs31 Mar 2026
- 2026Editing Away the Evidence: Diffusion-Based Image Manipulation and the Failure Modes of Robust Watermarking13 Mar 2026
- 2026When Denoising Becomes Unsigning: Theoretical and Empirical Analysis of Watermark Fragility Under Diffusion-Based Image Editing5 Mar 2026
- 2026LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts12 Feb 2026
- 2025Diffusion-Based Image Editing: An Unforeseen Adversary to Robust Invisible Watermarks5 Nov 2025
- 2025Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and Robustness15 Sep 2025
- 2025FADE: Adversarial Concept Erasure in Flow Models16 Jul 2025
- 2026Depth-Synergized Mamba Meets Memory Experts for All-Day Image Reflection Separationcited by 5
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- 2025SCALAR: Scale-wise Controllable Visual Autoregressive Learningcited by 18
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- 2025RobustGS: Unified Boosting of Feedforward 3D Gaussian Splatting under Low-Quality Conditionscited by 13
- 2025Dual-domain Modulation Network for Lightweight Image Super-Resolutioncited by 8
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- 2025DPMambaIR: All-in-One Image Restoration via Degradation-Aware Prompt State Space Modelcited by 3
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- 2026MicroZoom: Structure-Preserving Detail Synthesis at Extreme Scale27 Jul 2026
- 2026PhyMRI-SR: Toward Physics-Aware MRI Image Super-Resolution7 Jul 2026
- 2026Learning Video Dynamics with Predictive Differentiable Rendering30 Jun 2026
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- 2026Resonant Brane Splatting for Arbitrary-Scale Super-Resolution28 Jun 2026
- 2026Adaptive Densification for High-Fidelity and Efficient Sparse Gaussian Splatting in Arbitrary-Scale Super-Resolution28 Jun 2026
- 2026GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening16 Jun 2026
- 2026Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset21 May 2026
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