Copertina

The Power of Context: How Multimodality Improves Image Super-Resolution

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mei, Kangfu, Talebi, Hossein, Ardakani, Mojtaba, Patel, Vishal M., Milanfar, Peyman, Delbracio, Mauricio
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
di: Mei, Kangfu, et al.
Pubblicazione: (2023)

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
di: Mei, Kangfu, et al.
Pubblicazione: (2024)

Reference-Guided Identity Preserving Face Restoration
di: Zhou, Mo, et al.
Pubblicazione: (2025)

UniRes: Universal Image Restoration for Complex Degradations
di: Zhou, Mo, et al.
Pubblicazione: (2025)

Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
di: Milanfar, Peyman, et al.
Pubblicazione: (2024)

TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance
di: Ye, Keren, et al.
Pubblicazione: (2025)

Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
di: Hu, Yuyang, et al.
Pubblicazione: (2025)

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
di: Delbracio, Mauricio, et al.
Pubblicazione: (2023)

The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning
di: Sahraee-Ardakan, Mojtaba, et al.
Pubblicazione: (2026)

SPIRE: Semantic Prompt-Driven Image Restoration
di: Qi, Chenyang, et al.
Pubblicazione: (2023)

Learning from a Generative Oracle: Domain Adaptation for Restoration
di: Hu, Yuyang, et al.
Pubblicazione: (2025)

A Survey on Diffusion Models for Inverse Problems
di: Daras, Giannis, et al.
Pubblicazione: (2024)

Latent Feature-Guided Diffusion Models for Shadow Removal
di: Mei, Kangfu, et al.
Pubblicazione: (2023)

On the Relation Between Linear Diffusion and Power Iteration
di: Weitzner, Dana, et al.
Pubblicazione: (2024)

ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling
di: Zhu, William Yicheng, et al.
Pubblicazione: (2024)

Domain-Specific Latent Representations Improve the Fidelity of Diffusion-Based Medical Image Super-Resolution
di: Cajas, Sebastian, et al.
Pubblicazione: (2026)

Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning
di: Majlessi, Kian, et al.
Pubblicazione: (2026)

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

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

RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
di: Rajagopalan, Sudarshan, et al.
Pubblicazione: (2025)

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

Improving Object Detection Quality in Football Through Super-Resolution Techniques
di: Seweryn, Karolina, et al.
Pubblicazione: (2024)

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

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

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

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

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

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

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

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

Morphing Through Time: Diffusion-Based Bridging of Temporal Gaps for Robust Alignment in Change Detection
di: Madani, Seyedehanita, et al.
Pubblicazione: (2025)

Your Pre-trained Diffusion Model Secretly Knows Restoration
di: Rajagopalan, Sudarshan, et al.
Pubblicazione: (2026)

Precise classification of low quality G-banded Chromosome Images by reliability metrics and data pruning classifier
di: Moattari, Mojtaba
Pubblicazione: (2025)

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

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

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

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

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

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

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