462 citations · 778 across the 26 of their papers we have counts for
18 papers · 1 filter
Optimized Adaptive Loop Filter in Versatile Video Coding
Xuewei Meng, Jiaqi Zhang, Chuanmin Jia +3
In the Versatile Video Coding~(VVC) standard, adaptive loop filter~(ALF), including Geometry transformation-based Adaptive Loop Filter~(GALF) and Cross Component Adaptive Loop Filt…
Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding
Xuewei Meng, Chuanmin Jia, Xinfeng Zhang +2
Geometric partitioning has attracted increasing attention by its remarkable motion field description capability in the hybrid video coding framework. However, the existing geometri…
Edge-directed geometric partitioning for versatile video coding
Xuewei Meng, Xinfeng Zhang, Chuanmin Jia +3
To improve the coding performance, geometric partition (GEO) was proposed for the upcoming VVC standard. GEO provides 140 partition candidates. The index of optimal GEO mode needs…
Deformable Wiener Filter for Future Video Coding
Xuewei Meng, Chuanmin Jia, Xinfeng Zhang +2
In-loop filters have attracted increasing attention due to the remarkable noise-reduction capability in the hybrid video coding framework. However, the existing in-loop filters in…
HGC-Avatar: Hierarchical Gaussian Compression for Streamable Dynamic 3D Avatars
Haocheng Tang, Ruoke Yan, Xinhui Yin +5
Recent advances in 3D Gaussian Splatting (3DGS) have enabled fast, photorealistic rendering of dynamic 3D scenes, showing strong potential in immersive communication. However, in d…
Predicting Satisfied User and Machine Ratio for Compressed Images: A Unified Approach
Qi Zhang, Shanshe Wang, Xinfeng Zhang +3
Nowadays, high-quality images are pursued by both humans for better viewing experience and by machines for more accurate visual analysis. However, images are usually compressed bef…
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang +5
In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D huma…
Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling
Qi Zhang, Shanshe Wang, Xinfeng Zhang +4
Video Coding for Machines (VCM) aims to compress visual signals for machine analysis. However, existing methods only consider a few machines, neglecting the majority. Moreover, the…
STIP: A SpatioTemporal Information-Preserving and Perception-Augmented Model for High-Resolution Video Prediction
Zheng Chang, Xinfeng Zhang, Shanshe Wang +2
Although significant achievements have been achieved by recurrent neural network (RNN) based video prediction methods, their performance in datasets with high resolutions is still…
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…
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…
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang +3
This paper introduces a novel Pre-trained Spatial Temporal Many-to-One (P-STMO) model for 2D-to-3D human pose estimation task. To reduce the difficulty of capturing spatial and tem…
Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation
Wenkang Shan, Haopeng Lu, Shanshe Wang +2
Most of the existing 3D human pose estimation approaches mainly focus on predicting 3D positional relationships between the root joint and other human joints (local motion) instead…
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…
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…
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…
Image and Video Compression with Neural Networks: A Review
Siwei Ma, Xinfeng Zhang, Chuanmin Jia +3
In recent years, the image and video coding technologies have advanced by leaps and bounds. However, due to the popularization of image and video acquisition devices, the growth ra…
Scalable Facial Image Compression with Deep Feature Reconstruction
Shurun Wang, Shiqi Wang, Xinfeng Zhang +3
In this paper, we propose a scalable image compression scheme, including the base layer for feature representation and enhancement layer for texture representation. More specifical…