Cover Image

FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhaoyang, Li, Jie, Lu, Wen, He, Lihuo, Gong, Maoguo, Gao, Xinbo
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

EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment
by: Wang, Zhaoyang, et al.
Published: (2025)

Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification
by: Han, Yuxing, et al.
Published: (2024)

A Multi-annotated and Multi-modal Dataset for Wide-angle Video Quality Assessment
by: Hu, Bo, et al.
Published: (2025)

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

Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment
by: Wang, Zhaoyang, et al.
Published: (2024)

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

Generative Latent Video Compression
by: Guo, Zongyu, et al.
Published: (2025)

Adversarial Diffusion Compression for Real-World Image Super-Resolution
by: Chen, Bin, et al.
Published: (2024)

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

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

Uncertainty-Aware Deep Video Compression with Ensembles
by: Ma, Wufei, et al.
Published: (2024)

Towards Practical Real-Time Neural Video Compression
by: Jia, Zhaoyang, et al.
Published: (2025)

FIPER: Factorized Features for Robust Image Super-Resolution and Compression
by: Sun, Yang-Che, et al.
Published: (2024)

Accelerating Learned Video Compression via Low-Resolution Representation Learning
by: Qiu, Zidian, et al.
Published: (2024)

AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content
by: Conde, Marcos V, et al.
Published: (2024)

A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method
by: Sun, Jing, et al.
Published: (2024)

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression
by: Qi, Linfeng, et al.
Published: (2025)

Fast-OMRA: Fast Online Motion Resolution Adaptation for Neural B-Frame Coding
by: NguyenQuang, Sang, et al.
Published: (2024)

Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results
by: Conde, Marcos V., et al.
Published: (2024)

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

Autoencoded Image Compression for Secure and Fast Transmission
by: Naveen, Aryan Kashyap, et al.
Published: (2024)

Neural Video Compression with Feature Modulation
by: Li, Jiahao, et al.
Published: (2024)

Pathology Image Compression with Pre-trained Autoencoders
by: Yellapragada, Srikar, et al.
Published: (2025)

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

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey
by: Conde, Marcos V., et al.
Published: (2024)

Generative Latent Coding for Ultra-Low Bitrate Image Compression
by: Jia, Zhaoyang, et al.
Published: (2025)

FCNR: Fast Compressive Neural Representation of Visualization Images
by: Lu, Yunfei, et al.
Published: (2024)

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

Task-Aware Encoder Control for Deep Video Compression
by: Ge, Xingtong, et al.
Published: (2024)

Fast Training-free Perceptual Image Compression
by: Zhu, Ziran, et al.
Published: (2025)

LatentBurst: A Fast and Efficient Multi Frame Super-Resolution for Hexadeca-Bayer Pattern CIS images
by: Baek, Sangwook, et al.
Published: (2026)

Fine-Grained Motion Compression and Selective Temporal Fusion for Neural B-Frame Video Coding
by: Sheng, Xihua, et al.
Published: (2025)

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

One-Step Diffusion-Based Image Compression with Semantic Distillation
by: Xue, Naifu, et al.
Published: (2025)

DLF: Extreme Image Compression with Dual-generative Latent Fusion
by: Xue, Naifu, et al.
Published: (2025)

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

TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling
by: Feng, Xinmin, et al.
Published: (2026)

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

FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings
by: Li, John, et al.
Published: (2024)

Iterative Network for Image Super-Resolution
by: Liu, Yuqing, et al.
Published: (2020)