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 2676–2700 of 3874 papers

TitleStatusHype
Sub-Terahertz Channel Measurements and Characterization in a Factory Building—0
SUFFICIENT: A scan-specific unsupervised deep learning framework for high-resolution 3D isotropic fetal brain MRI reconstruction—0
SUNLayer: Stable denoising with generative networks—0
SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation—0
Super Denoise Net: Speech Super Resolution with Noise Cancellation in Low Sampling Rate Noisy Environments—0
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation—0
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution—0
Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs—0
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis—0
SuperGaussian: Repurposing Video Models for 3D Super Resolution—0
SuperGS: Consistent and Detailed 3D Super-Resolution Scene Reconstruction via Gaussian Splatting—0
SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting—0
SuperMark: Robust and Training-free Image Watermarking via Diffusion-based Super-Resolution—0
SuperNeRF-GAN: A Universal 3D-Consistent Super-Resolution Framework for Efficient and Enhanced 3D-Aware Image Synthesis—0
Super-NeRF: View-consistent Detail Generation for NeRF super-resolution—0
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models—0
Super-Resolution Analysis for Landfill Waste Classification—0
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows—0
Super-Resolution and Image Re-projection for Iris Recognition—0
Super-Resolution and Sparse View CT Reconstruction—0
Super-Resolution Appearance Transfer for 4D Human Performances—0
Super-Resolved Image Perceptual Quality Improvement via Multi-Feature Discriminators—0
Super Resolution Based on Deep Operator Networks—0
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images—0
Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified