activity
20172026
most citedImage and Video Compression with Neural Networks: A Review

462 citations · 992 across the 34 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cs.MM2020★ 17 cited

Sub-sampled Cross-component Prediction for Emerging Video Coding Standards

Junru Li, Meng Wang, Li Zhang +5

Cross-component linear model (CCLM) prediction has been repeatedly proven to be effective in reducing the inter-channel redundancies in video compression. Essentially speaking, the…

cs.CV2020★ 1 cited

Implicit Subspace Prior Learning for Dual-Blind Face Restoration

Lingbo Yang, Pan Wang, Zhanning Gao +4

Face restoration is an inherently ill-posed problem, where additional prior constraints are typically considered crucial for mitigating such pathology. However, real-world image pr…

eess.IV2020★ 1 cited

Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution

Yuqing Liu, Xinfeng Zhang, Shanshe Wang +2

Multi-scale design has been considered in recent image super-resolution (SR) works to explore the hierarchical feature information. Existing multi-scale networks aim to build elabo…

cs.CV2020★ 13 cited

Region-adaptive Texture Enhancement for Detailed Person Image Synthesis

Lingbo Yang, Pan Wang, Xinfeng Zhang +6

The ability to produce convincing textural details is essential for the fidelity of synthesized person images. However, existing methods typically follow a ``warping-based'' strate…

cs.CV2020★ 41 cited

Towards Fine-grained Human Pose Transfer with Detail Replenishing Network

Lingbo Yang, Pan Wang, Chang Liu +7

Human pose transfer (HPT) is an emerging research topic with huge potential in fashion design, media production, online advertising and virtual reality. For these applications, the…

eess.IV2020★ 34 cited

Iterative Network for Image Super-Resolution

Yuqing Liu, Shiqi Wang, Jian Zhang +3

Single image super-resolution (SISR), as a traditional ill-conditioned inverse problem, has been greatly revitalized by the recent development of convolutional neural networks (CNN…

cs.CV2020★ 136 cited

HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment

Lingbo Yang, Chang Liu, Pan Wang +4

Existing face restoration researches typically relies on either the degradation prior or explicit guidance labels for training, which often results in limited generalization abilit…

cs.CV2020★ 2 cited

Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression

Shurun Wang, Shiqi Wang, Wenhan Yang +4

It plays a fundamental role to compactly represent the visual information towards the optimization of the ultimate utility in myriad visual data centered applications. With numerou…