SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 251–275 of 3874 papers

TitleStatusHype
ZoomLDM: Latent Diffusion Model for multi-scale image generationCode1
Local Implicit Wavelet Transformer for Arbitrary-Scale Super-ResolutionCode1
Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical ImagesCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
Sebica: Lightweight Spatial and Efficient Bidirectional Channel Attention Super Resolution NetworkCode1
ControlSR: Taming Diffusion Models for Consistent Real-World Image Super ResolutionCode1
Degradation Oriented and Regularized Network for Blind Depth Super-ResolutionCode1
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher ResolutionCode1
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-ResolutionCode1
Enhanced Super-Resolution Training via Mimicked Alignment for Real-World ScenesCode1
SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented LearningCode1
PixelShuffler: A Simple Image Translation Through Pixel RearrangementCode1
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEsCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
PlainUSR: Chasing Faster ConvNet for Efficient Super-ResolutionCode1
Learned Compression for Images and Point CloudsCode1
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-ResolutionCode1
LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-ResolutionCode1
Rethinking Image Super-Resolution from Training Data PerspectivesCode1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
Cascaded Temporal Updating Network for Efficient Video Super-ResolutionCode1
MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMsCode1
Implicit Grid Convolution for Multi-Scale Image Super-ResolutionCode1
One Step Diffusion-based Super-Resolution with Time-Aware DistillationCode1
GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified