2 citations · 5 across the 13 of their papers we have counts for
7 papers · 1 filter
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
Junxuan Zhang, Zhengxue Cheng, Yan Zhao +4
Learning-based probabilistic models can be combined with an entropy coder for data compression. However, due to the high complexity of learning-based models, their practical applic…
AsymLLIC: Asymmetric Lightweight Learned Image Compression
Shen Wang, Zhengxue Cheng, Donghui Feng +3
Learned image compression (LIC) methods often employ symmetrical encoder and decoder architectures, evitably increasing decoding time. However, practical scenarios demand an asymme…
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
Chuqin Zhou, Guo Lu, Jiangchuan Li +4
Neural image compression often faces a challenging trade-off among rate, distortion and perception. While most existing methods typically focus on either achieving high pixel-level…
Rate-aware Compression for NeRF-based Volumetric Video
Zhiyu Zhang, Guo Lu, Huanxiong Liang +3
The neural radiance fields (NeRF) have advanced the development of 3D volumetric video technology, but the large data volumes they involve pose significant challenges for storage a…
Content-Adaptive Rate-Quality Curve Prediction Model in Media Processing System
Shibo Yin, Zhiyu Zhang, Peirong Ning +4
In streaming media services, video transcoding is a common practice to alleviate bandwidth demands. Unfortunately, traditional methods employing a uniform rate factor (RF) across a…
H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting
Bing He, Yunuo Chen, Guo Lu +5
Dynamic scene reconstruction poses a persistent challenge in 3D vision. Deformable 3D Gaussian Splatting has emerged as an effective method for this task, offering real-time render…
Efficient Dynamic-NeRF Based Volumetric Video Coding with Rate Distortion Optimization
Zhiyu Zhang, Guo Lu, Huanxiong Liang +3
Volumetric videos, benefiting from immersive 3D realism and interactivity, hold vast potential for various applications, while the tremendous data volume poses significant challeng…