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 1501–1525 of 3874 papers

TitleStatusHype
GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical coherence tomography Scans—0
Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution—0
A super-resolution reconstruction method for lightweight building images based on an expanding feature modulation network—0
A Study of Efficient Light Field Subsampling and Reconstruction Strategies—0
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution—0
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation—0
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models—0
GaussianSR: 3D Gaussian Super-Resolution with 2D Diffusion Priors—0
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution—0
GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution—0
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors—0
Across-scale Process Similarity based Interpolation for Image Super-Resolution—0
GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention—0
GDSR: Global-Detail Integration through Dual-Branch Network with Wavelet Losses for Remote Sensing Image Super-Resolution—0
HoloFusion: Towards Photo-realistic 3D Generative Modeling—0
FL-MISR: Fast Large-Scale Multi-Image Super-Resolution for Computed Tomography Based on Multi-GPU Acceleration—0
A Study in Dataset Pruning for Image Super-Resolution—0
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution—0
Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images—0
Application of convolutional neural networks in image super-resolution—0
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution—0
FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation—0
HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution—0
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics—0
A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified