:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhu, Qiang, Jiang, Yuxuan, Zhu, Shuyuan, Zhang, Fan, Bull, David, Zeng, Bing
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2503.07856
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Compressed Video Super-Resolution based on Hierarchical Encoding
por: Jiang, Yuxuan, et al.
Publicado: (2025)

FCVSR: A Frequency-aware Method for Compressed Video Super-Resolution
por: Zhu, Qiang, et al.
Publicado: (2025)

Trajectory-aware Shifted State Space Models for Online Video Super-Resolution
por: Zhu, Qiang, et al.
Publicado: (2025)

HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution
por: Jiang, Yuxuan, et al.
Publicado: (2024)

MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution
por: Jiang, Yuxuan, et al.
Publicado: (2024)

C2D-ISR: Optimizing Attention-based Image Super-resolution from Continuous to Discrete Scales
por: Jiang, Yuxuan, et al.
Publicado: (2025)

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content
por: Jiang, Yuxuan, et al.
Publicado: (2024)

Instance Data Condensation for Image Super-Resolution
por: Peng, Tianhao, et al.
Publicado: (2025)

Compressing Deep Image Super-resolution Models
por: Jiang, Yuxuan, et al.
Publicado: (2023)

Compressed Video Quality Enhancement with Temporal Group Alignment and Fusion
por: Zhu, Qiang, et al.
Publicado: (2024)

Deep Blind Super-Resolution for Satellite Video
por: Xiao, Yi, et al.
Publicado: (2024)

Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution
por: Lin, Junxiong, et al.
Publicado: (2024)

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

Q-Tacit: Image Quality Assessment via Latent Visual Reasoning
por: Jiang, Yuxuan, et al.
Publicado: (2026)

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

Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
por: Xu, Kai, et al.
Publicado: (2023)

Immersive Video Compression using Implicit Neural Representations
por: Kwan, Ho Man, et al.
Publicado: (2024)

KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion
por: Heinimann, Oliver, et al.
Publicado: (2025)

GIViC: Generative Implicit Video Compression
por: Gao, Ge, et al.
Publicado: (2025)

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

Implicit Neural Representation for Video and Image Super-Resolution
por: Aiyetigbo, Mary, et al.
Publicado: (2025)

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

Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution
por: Zhu, Jinchen, et al.
Publicado: (2024)

RMT-BVQA: Recurrent Memory Transformer-based Blind Video Quality Assessment for Enhanced Video Content
por: Peng, Tianhao, et al.
Publicado: (2024)

PNVC: Towards Practical INR-based Video Compression
por: Gao, Ge, et al.
Publicado: (2024)

GFix: Perceptually Enhanced Gaussian Splatting Video Compression
por: Teng, Siyue, et al.
Publicado: (2025)

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

HATIR: Heat-Aware Diffusion for Turbulent Infrared Video Super-Resolution
por: Zou, Yang, et al.
Publicado: (2026)

Enhancing Deformable Convolution based Video Frame Interpolation with Coarse-to-fine 3D CNN
por: Danier, Duolikun, et al.
Publicado: (2022)

Towards Unified Video Quality Assessment
por: Feng, Chen, et al.
Publicado: (2025)

Taming Stable Diffusion for Computed Tomography Blind Super-Resolution
por: Li, Chunlei, et al.
Publicado: (2025)

Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain Attention
por: Zhang, Yan, et al.
Publicado: (2024)

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

BVI-VFI: A Video Quality Database for Video Frame Interpolation
por: Danier, Duolikun, et al.
Publicado: (2022)

SuperF: Neural Implicit Fields for Multi-Image Super-Resolution
por: Jyhne, Sander Riisøen, et al.
Publicado: (2025)

DaBiT: Depth and Blur informed Transformer for Video Focal Deblurring
por: Morris, Crispian, et al.
Publicado: (2024)

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

LDMVFI: Video Frame Interpolation with Latent Diffusion Models
por: Danier, Duolikun, et al.
Publicado: (2023)

A Subjective Quality Study for Video Frame Interpolation
por: Danier, Duolikun, et al.
Publicado: (2022)

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