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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3826–3850 of 3874 papers

TitleStatusHype
Feedback Network for Image Super-ResolutionCode0
AFN: Attentional Feedback Network based 3D Terrain Super-ResolutionCode0
TGAN: Deep Tensor Generative Adversarial Nets for Large Image GenerationCode0
Feature Forwarding for Efficient Single Image DehazingCode0
Constraint matrix factorization for space variant PSFs field restorationCode0
Scale Guided Hypernetwork for Blind Super-Resolution Image Quality AssessmentCode0
Conditioning and Sampling in Variational Diffusion Models for Speech Super-ResolutionCode0
Conditional Generation Using Polynomial ExpansionsCode0
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task LearningCode0
Scaling Laws For Deep Learning Based Image ReconstructionCode0
3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-ResolutionCode0
The Effects of Super-Resolution on Object Detection Performance in Satellite ImageryCode0
FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-ResolutionCode0
FC^2N: Fully Channel-Concatenated Network for Single Image Super-ResolutionCode0
Scene Text Image Super-Resolution via Parallelly Contextual Attention NetworkCode0
AFFIRM: Affinity Fusion-based Framework for Iteratively Random Motion correction of multi-slice fetal brain MRICode0
Scene Text Telescope: Text-Focused Scene Image Super-ResolutionCode0
SCINet: Spatial and Contrast Interactive Super-Resolution Assisted Infrared UAV Target DetectionCode0
Adversarial Feedback LoopCode0
Deep Laplacian Pyramid Network for Text Images Super-ResolutionCode0
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical ZoomCode0
Fast Samplers for Inverse Problems in Iterative Refinement ModelsCode0
SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text ImagesCode0
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric PriorsCode0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified