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20182022
most citedImage and Video Compression with Neural Networks: A Review

462 citations · 804 across the 19 of their papers we have counts for

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17 papers · 1 filter

cs.CV20221 cited

STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond

Zheng Chang, Xinfeng Zhang, Shanshe Wang +2

Video prediction aims to predict future frames by modeling the complex spatiotemporal dynamics in videos. However, most of the existing methods only model the temporal information…

cs.CV20222 cited

STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction

Zheng Chang, Xinfeng Zhang, Shanshe Wang +2

Although many video prediction methods have obtained good performance in low-resolution (64128) videos, predictive models for high-resolution (5124K) videos have not be…

cs.CV2021167 cited

COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

Di You, Jian Zhang, Jingfen Xie +2

Recent deep network-based compressive sensing (CS) methods have achieved great success. However, most of them regard different sampling matrices as different independent tasks and…

cs.CV20213 cited

Post-Training Quantization for Vision Transformer

Zhenhua Liu, Yunhe Wang, Kai Han +2

Recently, transformer has achieved remarkable performance on a variety of computer vision applications. Compared with mainstream convolutional neural networks, vision transformers…

cs.CV20212 cited

Thousand to One: Semantic Prior Modeling for Conceptual Coding

Jianhui Chang, Zhenghui Zhao, Lingbo Yang +3

Conceptual coding has been an emerging research topic recently, which encodes natural images into disentangled conceptual representations for compression. However, the compression…

cs.CV2020

Intrinsic Temporal Regularization for High-resolution Human Video Synthesis

Lingbo Yang, Zhanning Gao, Peiran Ren +2

Temporal consistency is crucial for extending image processing pipelines to the video domain, which is often enforced with flow-based warping error over adjacent frames. Yet for hu…