9 citations · 11 across the 6 of their papers we have counts for
7 papers
Every Packet Counts: Dispersing Information for Loss-Resilient Learned Image Compression
Yuhang Wei, Chuqin Zhou, Yibo Shi +2
Learned image compression (LIC) has achieved impressive rate-distortion performance. However, existing methods remain highly vulnerable to packet loss, a common challenge in satell…
SpeedyGS: Content-Aware 3D Gaussian Splatting Compression via Two-Stage Optimization
Junteng Zhang, Tong Chen, Yuxin Zhao +3
Recent progress in compressing large-scale 3D Gaussian Splatting (3DGS) data has substantially reduced storage footprint, network transmission bandwidth, and memory traffic to GPU…
Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model
Panqi Jia, A. Burakhan Koyuncu, Jue Mao +9
The research on neural network (NN) based image compression has shown superior performance compared to classical compression frameworks. Unlike the hand-engineered transforms in th…
A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation
Shu Tang, Yang Wu, Hongxing Qin +3
Most existing deep-learning-based single image dynamic scene blind deblurring (SIDSBD) methods usually design deep networks to directly remove the spatially-variant motion blurs fr…
Content-oriented learned image compression
Meng Li, Shangyin Gao, Yihui Feng +2
In recent years, with the development of deep neural networks, end-to-end optimized image compression has made significant progress and exceeded the classic methods in terms of rat…
AlphaVC: High-Performance and Efficient Learned Video Compression
Yibo Shi, Yunying Ge, Jing Wang +1
Recently, learned video compression has drawn lots of attention and show a rapid development trend with promising results. However, the previous works still suffer from some critic…
Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation
Ze Cui, Jing Wang, Shangyin Gao +3
With the development of deep learning techniques, the combination of deep learning with image compression has drawn lots of attention. Recently, learned image compression methods h…