Cover Image

NSSR-DIL: Null-Shot Image Super-Resolution Using Deep Identity Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	S, Sree Rama Vamsidhar, Gorthi, Rama Krishna
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

D3: Deep Deconvolution Deblurring for Natural Images
by: Saraswathula, Vamsidhar, et al.
Published: (2024)

Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
by: S, Sree Rama Vamsidhar, et al.
Published: (2024)

Stop Denoising Your Blurs
by: Parvathireddy, Sasidhar, et al.
Published: (2026)

Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning
by: Byun, Ji Young, et al.
Published: (2025)

ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models
by: Wei, Guoyizhe, et al.
Published: (2025)

Comprehensive Review of EEG-to-Output Research: Decoding Neural Signals into Images, Videos, and Audio
by: Sabharwal, Yashvir, et al.
Published: (2024)

Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)

Learning Single-Image Super-Resolution in the JPEG Compressed Domain
by: Srinivasan, Sruthi, et al.
Published: (2025)

SwinIFS: Landmark Guided Swin Transformer For Identity Preserving Face Super Resolution
by: Kausar, Habiba, et al.
Published: (2026)

The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
by: Sakarvadia, Mansi, et al.
Published: (2025)

Enhanced Portable Ultra Low-Field Diffusion Tensor Imaging with Bayesian Artifact Correction and Deep Learning-Based Super-Resolution
by: Olchanyi, Mark D., et al.
Published: (2026)

Improving the Spatial Resolution of GONG Solar Images to GST Quality Using Deep Learning
by: Li, Chenyang, et al.
Published: (2025)

Fourier-Guided Attention Upsampling for Image Super-Resolution
by: Choi, Daejune, et al.
Published: (2025)

Data Upcycling Knowledge Distillation for Image Super-Resolution
by: Zhang, Yun, et al.
Published: (2023)

DiffRegCD: Integrated Registration and Change Detection with Diffusion Features
by: Madani, Seyedehanita, et al.
Published: (2025)

ICM-SR: Image-Conditioned Manifold Regularization for Image Super-Resolution
by: Kang, Junoh, et al.
Published: (2025)

Efficient Learnable Collaborative Attention for Single Image Super-Resolution
by: Zheng, Yigang Zhao Chaowei, et al.
Published: (2024)

No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy
by: Khateri, Mohammad, et al.
Published: (2024)

SAAT: Synergistic Alternating Aggregation Transformer for Image Super-Resolution
by: Wu, Jianfeng, et al.
Published: (2025)

SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
by: Pramanick, Shraman, et al.
Published: (2024)

The Double-Edged Sword of Data-Driven Super-Resolution: Adversarial Super-Resolution Models
by: Duba-Sullivan, Haley, et al.
Published: (2026)

Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution
by: Bang, Junseo, et al.
Published: (2025)

BadSR: Stealthy Label Backdoor Attacks on Image Super-Resolution
by: Guo, Ji, et al.
Published: (2025)

TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution
by: Vajrala, Sowmya, et al.
Published: (2026)

FunduSegmenter: Leveraging the RETFound Foundation Model for Joint Optic Disc and Optic Cup Segmentation in Retinal Fundus Images
by: Zhao, Zhenyi, et al.
Published: (2025)

Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution
by: Wang, Hongjun, et al.
Published: (2024)

AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource
by: Zhan, Wengyi, et al.
Published: (2024)

LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution
by: Kim, Jeongsoo, et al.
Published: (2024)

Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution
by: Xu, Hang, et al.
Published: (2025)

Fully $1\times1$ Convolutional Network for Lightweight Image Super-Resolution
by: Wu, Gang, et al.
Published: (2023)

WaveHiT-SR: Hierarchical Wavelet Network for Efficient Image Super-Resolution
by: Ali, Fayaz, et al.
Published: (2025)

Realism Control One-step Diffusion for Real-World Image Super-Resolution
by: Wu, Zongliang, et al.
Published: (2025)

QUSR: Quality-Aware and Uncertainty-Guided Image Super-Resolution Diffusion Model
by: Yin, Junjie, et al.
Published: (2026)

AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution
by: Liu, Cencen, et al.
Published: (2026)

Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis
by: Khwaja, Emaad, et al.
Published: (2024)

SuperGaussian: Repurposing Video Models for 3D Super Resolution
by: Shen, Yuan, et al.
Published: (2024)

In silico Deep Learning Protocols for Label-Free Super-Resolution Microscopy: A Comparative Study of Network Architectures and SNR Dependence
by: Kaderuppan, Shiraz S, et al.
Published: (2025)

RefSR-Adv: Adversarial Attack on Reference-based Image Super-Resolution Models
by: Dai, Jiazhu, et al.
Published: (2026)

Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution
by: Mudraje, Ashitha, et al.
Published: (2025)

Stroke-based Cyclic Amplifier: Image Super-Resolution at Arbitrary Ultra-Large Scales
by: Guo, Wenhao, et al.
Published: (2025)