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 2351–2375 of 3874 papers

TitleStatusHype
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation—0
HIPA: Hierarchical Patch Transformer for Single Image Super Resolution—0
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image—0
HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution—0
Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment—0
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances—0
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution—0
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation—0
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation—0
HoloFusion: Towards Photo-realistic 3D Generative Modeling—0
How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution—0
How Good Are Deep Generative Models for Solving Inverse Problems?—0
How Real is Real: Evaluating the Robustness of Real-World Super Resolution—0
How should a fixed budget of dwell time be spent in scanning electron microscopy to optimize image quality?—0
HR Human: Modeling Human Avatars with Triangular Mesh and High-Resolution Textures from Videos—0
HSD-PAM: High Speed Super Resolution Deep Penetration Photoacoustic Microscopy Imaging Boosted by Dual Branch Fusion Network—0
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images—0
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models—0
HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models—0
HSTR-Net: Reference Based Video Super-resolution with Dual Cameras—0
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model—0
Hybrid attention structure preserving network for reconstruction of under-sampled OCT images—0
Hybrid Neural Representations for Spherical Data—0
Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution—0
HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified