1 citations · 1 across the 5 of their papers we have counts for
6 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…
Hierarchical B-frame Video Coding for Long Group of Pictures
Ivan Kirillov, Denis Parkhomenko, Kirill Chernyshev +4
Learned video compression methods already outperform VVC in the low-delay (LD) case, but the random-access (RA) scenario remains challenging. Most works on learned RA video compres…
High Visual-Fidelity Learned Video Compression
Meng Li, Yibo Shi, Jing Wang +1
With the growing demand for video applications, many advanced learned video compression methods have been developed, outperforming traditional methods in terms of objective quality…
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…