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 3626–3650 of 3874 papers

TitleStatusHype
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural NetworkCode0
Deep Back-Projection Networks for Single Image Super-resolutionCode0
Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse CodingCode0
Image Super-resolution via Feature-augmented Random ForestCode0
A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected LayersCode0
Image Super-Resolution via Dual-State Recurrent NetworksCode0
Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-ResolutionCode0
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth CompletionCode0
Decouple Learning for Parameterized Image OperatorsCode0
RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-ResolutionCode0
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical RectificationCode0
Image Super-Resolution via Deep Recursive Residual NetworkCode0
Real-time Deep Video DeinterlacingCode0
Decimated Framelet System on Graphs and Fast G-Framelet TransformsCode0
Transformer-based Selective Super-Resolution for Efficient Image RefinementCode0
DDR: Exploiting Deep Degradation Response as Flexible Image DescriptorCode0
Image Super-Resolution via Attention based Back Projection NetworksCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRICode0
Image Super-Resolution Using a Wavelet-based Generative Adversarial NetworkCode0
"Zero-Shot" Super-Resolution using Deep Internal LearningCode0
Spherical Space Feature Decomposition for Guided Depth Map Super-ResolutionCode0
Data Upcycling Knowledge Distillation for Image Super-ResolutionCode0
Image Super-Resolution Improved by Edge InformationCode0
Image Super-Resolution by Neural Texture TransferCode0
Show:102550
← PrevPage 146 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified