Imagen de Portada

DRCT: Saving Image Super-resolution away from Information Bottleneck

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hsu, Chih-Chung, Lee, Chia-Ming, Chou, Yi-Shiuan
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System
por: Hsu, Chih-Chung, et al.
Publicado: (2024)

Towards Robust DeepFake Detection under Unstable Face Sequences: Adaptive Sparse Graph Embedding with Order-Free Representation and Explicit Laplacian Spectral Prior
por: Hsu, Chih-Chung, et al.
Publicado: (2025)

Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat
por: Hsu, Chih-Chung, et al.
Publicado: (2024)

GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection
por: Hsu, Chih-Chung, et al.
Publicado: (2024)

HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution
por: Hu, Qiongyang, et al.
Publicado: (2025)

MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation
por: Hsu, Chih-Chung, et al.
Publicado: (2024)

DenseSR: Image Shadow Removal as Dense Prediction
por: Lin, Yu-Fan, et al.
Publicado: (2025)

Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction
por: Huang, Po-Hsuan, et al.
Publicado: (2024)

Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
por: Zhu, Zhiyu, et al.
Publicado: (2025)

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

Boosting Flow-based Generative Super-Resolution Models via Learned Prior
por: Tsao, Li-Yuan, et al.
Publicado: (2024)

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation
por: Tang, Jyun-Ze, et al.
Publicado: (2025)

Bridging Synthetic and Real-World Domains: A Human-in-the-Loop Weakly-Supervised Framework for Industrial Toxic Emission Segmentation
por: Tao, Yida, et al.
Publicado: (2025)

WWE-UIE: A Wavelet & White Balance Efficient Network for Underwater Image Enhancement
por: Cheng, Ching-Heng, et al.
Publicado: (2025)

Extending Information Bottleneck Attribution to Video Sequences
por: Solopova, Veronika, et al.
Publicado: (2025)

Graph Information Bottleneck for Remote Sensing Segmentation
por: Shou, Yuntao, et al.
Publicado: (2023)

Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes
por: Hsu, Chih-Chung, et al.
Publicado: (2024)

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
por: Wang, Zhaoyang, et al.
Publicado: (2024)

GEWDiff: Geometric Enhanced Wavelet-based Diffusion Model for Hyperspectral Image Super-resolution
por: Wang, Sirui, et al.
Publicado: (2025)

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

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

Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
por: Wang, Hongmei, et al.
Publicado: (2024)

Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage Model
por: Lin, Yu-Fan, et al.
Publicado: (2024)

Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability
por: Hsu, Chia-Yu, et al.
Publicado: (2024)

Tobler's First Law in GeoAI: A Spatially Explicit Deep Learning Model for Terrain Feature Detection Under Weak Supervision
por: Li, Wenwen, et al.
Publicado: (2025)

HIMOSA: Efficient Remote Sensing Image Super-Resolution with Hierarchical Mixture of Sparse Attention
por: Liu, Yi, et al.
Publicado: (2025)

Extreme Blind Image Restoration via Prompt-Conditioned Information Bottleneck
por: Kim, Hongeun, et al.
Publicado: (2025)

The Describe-Then-Generate Bottleneck: How VLM Descriptions Alter Image Generation Outcomes
por: Kodathala, Sai Varun, et al.
Publicado: (2025)

Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection
por: Hsu, Chih-Chung, et al.
Publicado: (2024)

A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection
por: Hsu, Chih-Chung, et al.
Publicado: (2024)

CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion
por: Hsu, Chih-Chung, et al.
Publicado: (2024)

CRISP: A Framework for Cryo-EM Image Segmentation and Processing with Conditional Random Field
por: Chung, Szu-Chi, et al.
Publicado: (2025)

Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency
por: Teevno, Mansoor Ali, et al.
Publicado: (2024)

CoBELa: Steering Transparent Generation via Concept Bottlenecks on Energy Landscapes
por: Kim, Sangwon, et al.
Publicado: (2025)

Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
por: Wang, Ying, et al.
Publicado: (2023)

UMCL: Unimodal-generated Multimodal Contrastive Learning for Cross-compression-rate Deepfake Detection
por: Lai, Ching-Yi, et al.
Publicado: (2025)

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

Overcoming the Curvature Bottleneck in MeanFlow
por: Zhang, Xinxi, et al.
Publicado: (2025)

VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck
por: Zhang, Feiran, et al.
Publicado: (2026)

Bridging the Domain Gap: A Simple Domain Matching Method for Reference-based Image Super-Resolution in Remote Sensing
por: Min, Jeongho, et al.
Publicado: (2024)