Imagen de Portada

Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lin, Junxiong, Tao, Zeng, Tong, Xuan, Mai, Xinji, Wang, Haoran, Wang, Boyang, Wang, Yan, Zhao, Qing, Yu, Jiawen, Lin, Yuxuan, Yan, Shaoqi, Gao, Shuyong, Zhang, Wenqiang
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
por: Lin, Junxiong, et al.
Publicado: (2024)

All rivers run into the sea: Unified Modality Brain-like Emotional Central Mechanism
por: Mai, Xinji, et al.
Publicado: (2024)

D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition
por: Wang, Haoran, et al.
Publicado: (2024)

Hi-EF: Benchmarking Emotion Forecasting in Human-interaction
por: Wang, Haoran, et al.
Publicado: (2024)

Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
por: Tong, Xuan, et al.
Publicado: (2025)

OUS: Scene-Guided Dynamic Facial Expression Recognition
por: Mai, Xinji, et al.
Publicado: (2024)

A$^{3}$lign-DFER: Pioneering Comprehensive Dynamic Affective Alignment for Dynamic Facial Expression Recognition with CLIP
por: Tao, Zeng, et al.
Publicado: (2024)

From Efficient Multimodal Models to World Models: A Survey
por: Mai, Xinji, et al.
Publicado: (2024)

Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments
por: Yu, Jiawen, et al.
Publicado: (2025)

Learning the Degradation Distribution for Blind Image Super-Resolution
por: Luo, Zhengxiong, et al.
Publicado: (2022)

Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
por: Lin, Yuxuan, et al.
Publicado: (2025)

DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution
por: Wang, Zhengxue, et al.
Publicado: (2024)

HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset
por: Wang, Qishan, et al.
Publicado: (2025)

A Survey on Facial Expression Recognition of Static and Dynamic Emotions
por: Wang, Yan, et al.
Publicado: (2024)

Preserving Full Degradation Details for Blind Image Super-Resolution
por: Liu, Hongda, et al.
Publicado: (2024)

BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution
por: Li, Feng, et al.
Publicado: (2024)

Blind Video Super-Resolution based on Implicit Kernels
por: Zhu, Qiang, et al.
Publicado: (2025)

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations
por: Wen, Weilei, et al.
Publicado: (2025)

Riemannian Gradient Descent Method to Joint Blind Super-Resolution and Demixing in ISAC
por: Xiang, Zeyu, et al.
Publicado: (2024)

DegBins: Degradation-Driven Binning for Depth Super-Resolution
por: Yan, Zhiqiang, et al.
Publicado: (2026)

A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Image Anomaly Detection
por: Lin, Yuxuan, et al.
Publicado: (2024)

Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
por: Lu, Shao-Hao, et al.
Publicado: (2025)

Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution
por: Yuan, Jiang, et al.
Publicado: (2024)

Blind Super Resolution with Reference Images and Implicit Degradation Representation
por: Do, Huu-Phu, et al.
Publicado: (2025)

Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution
por: Ito, Ru, et al.
Publicado: (2025)

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling
por: Wang, Huanzhen, et al.
Publicado: (2026)

LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning
por: Yuan, Jiang, et al.
Publicado: (2025)

AnimatePainter: A Self-Supervised Rendering Framework for Reconstructing Painting Process
por: Hu, Junjie, et al.
Publicado: (2025)

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision
por: Hu, Junjie, et al.
Publicado: (2024)

Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images
por: Kondo, Yuki, et al.
Publicado: (2023)

Suppressing Uncertainty in Gaze Estimation
por: Wang, Shijing, et al.
Publicado: (2024)

A Holistically Point-guided Text Framework for Weakly-Supervised Camouflaged Object Detection
por: Mok, Tsui Qin, et al.
Publicado: (2025)

Uncertainty Estimation for Super-Resolution using ESRGAN
por: Adapa, Maniraj Sai, et al.
Publicado: (2024)

Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution
por: Wang, Hongjun, et al.
Publicado: (2025)

Two Heads Better than One: Dual Degradation Representation for Blind Super-Resolution
por: Yuan, Hsuan, et al.
Publicado: (2025)

CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
por: Liu, Qingguo, et al.
Publicado: (2024)

Diffusion-based Blind Text Image Super-Resolution
por: Zhang, Yuzhe, et al.
Publicado: (2023)

EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution
por: Xie, Haizhen, et al.
Publicado: (2025)

Incorporating Degradation Estimation in Light Field Spatial Super-Resolution
por: Xiao, Zeyu, et al.
Publicado: (2024)

Learning Correction Errors via Frequency-Self Attention for Blind Image Super-Resolution
por: Sun, Haochen, et al.
Publicado: (2024)