Research map / Image generation
Super-resolution: research map
429 accepted papers on Super-resolution in Image generation, from ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026), grouped into 2 clusters and 6 approaches. The busiest year so far is 2026.
Within Image generation, its share shrank from 5.6% in 2023–24 to 4.0% in 2025–26 (117 → 165 papers at ICML, NeurIPS, CVPR and AAAI, the venues with data for all four years).
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Approaches and key papers
image super · attention · resolution diffusion · 333 papers
Approaches in this cluster:
- Efficient lightweight super-resolution (101 papers)
Reduce super-resolution cost with lightweight networks, selective processing, and mixtures of experts. - Perceptual and real-world SR (85 papers)
Improve realism and semantic accuracy of super-resolution with perceptual losses and semantic guidance. - CNN and transformer SR architectures (62 papers)
Design deep recursive, attention, and transformer architectures for single-image super-resolution. - Diffusion-based super-resolution (85 papers)
Accelerate diffusion super-resolution with one-step distillation and residual shifting.
Most cited and most cited since 2024:
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (CVPR 2017 · 12,597 citations)
- Residual Dense Network for Image Super-Resolution (CVPR 2018 · 4,176 citations)
- SinSR: Diffusion-Based Image Super-Resolution in a Single Step (CVPR 2024 · 167 citations)
- ResDiff: Combining CNN and Diffusion Model for Image Super-resolution (AAAI 2024 · 126 citations)
lr · hr · degradation · 96 papers
Approaches in this cluster:
- Real-world super-resolution (72 papers)
Handle ill-posed super-resolution with degradation modeling, adaptation, and frequency-aware representations. - Blind super-resolution (24 papers)
Estimate or represent unknown degradation kernels for blind super-resolution.
Most cited and most cited since 2024:
- Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CVPR 2016 · 7,310 citations)
- Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR 2018 · 1,151 citations)
- SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution (CVPR 2024 · 189 citations)
- SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution (AAAI 2024 · 49 citations)
Related topics in Image generation
- Autoregressive and latent generation (1,747)
- GANs (515)
- Editing and style transfer (988)
- Fast diffusion sampling (1,866)
- Image restoration (1,184)
- Text-to-image diffusion (1,310)