Cover Image

Compressed Video Super-Resolution based on Hierarchical Encoding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Yuxuan, Teng, Siyue, Zhu, Qiang, Feng, Chen, Zeng, Chengxi, Zhang, Fan, Zhu, Shuyuan, Zeng, Bing, Bull, David
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

GIViC: Generative Implicit Video Compression
by: Gao, Ge, et al.
Published: (2025)

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

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

HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
by: Kwan, Ho Man, et al.
Published: (2023)

Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration
by: Teng, Siyue, et al.
Published: (2024)

BVI-AOM: A New Training Dataset for Deep Video Compression Optimization
by: Nawała, Jakub, et al.
Published: (2024)

Multiple Latent Space Mapping for Compressed Dark Image Enhancement
by: Zeng, Yi, et al.
Published: (2024)

CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
by: Ma, Di, et al.
Published: (2020)

HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement
by: Li, Hantang, et al.
Published: (2025)

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

CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
by: Zhu, Qiang, et al.
Published: (2024)

NVRC: Neural Video Representation Compression
by: Kwan, Ho Man, et al.
Published: (2024)

Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression
by: Li, Dingquan, et al.
Published: (2024)

Compressed Domain Prior-Guided Video Super-Resolution for Cloud Gaming Content
by: Wang, Qizhe, et al.
Published: (2025)

Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation
by: Feng, Chen, et al.
Published: (2022)

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

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

Ultra-lightweight Neural Video Representation Compression
by: Kwan, Ho Man, et al.
Published: (2025)

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

FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution
by: Wang, Zhaoyang, et al.
Published: (2025)

Hierarchical Frequency-based Upsampling and Refining for Compressed Video Quality Enhancement
by: Zhang, Qianyu, et al.
Published: (2024)

SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reduction
by: Bogatyrev, Evgeney, et al.
Published: (2023)

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

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

Auto-Encoded Supervision for Perceptual Image Super-Resolution
by: Lee, MinKyu, et al.
Published: (2024)

Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
by: Liu, Yuqing, et al.
Published: (2022)

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

RealisVSR: Detail-enhanced Diffusion for Real-World 4K Video Super-Resolution
by: Zhao, Weisong, et al.
Published: (2025)

Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
by: Ma, Wen, et al.
Published: (2024)

BVI-CR: A Multi-View Human Dataset for Volumetric Video Compression
by: Gao, Ge, et al.
Published: (2024)

A Systematic Survey of Deep Learning-based Single-Image Super-Resolution
by: Li, Juncheng, et al.
Published: (2021)

High-Efficiency Neural Video Compression via Hierarchical Predictive Learning
by: Lu, Ming, et al.
Published: (2024)

Conditional Neural Video Coding with Spatial-Temporal Super-Resolution
by: Wang, Henan, et al.
Published: (2024)

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

Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning
by: Lu, Ming, et al.
Published: (2020)

CAMP-VQA: Caption-Embedded Multimodal Perception for No-Reference Quality Assessment of Compressed Video
by: Wang, Xinyi, et al.
Published: (2025)

MVAD: A Multiple Visual Artifact Detector for Video Streaming
by: Feng, Chen, et al.
Published: (2024)

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report
by: Ren, Bin, et al.
Published: (2025)