no code implementations • CVPR 2023 • Runsen Feng, Zongyu Guo, Weiping Li, Zhibo Chen
In theory, vector quantization (VQ) is always better than scalar quantization (SQ) in terms of rate-distortion (R-D) performance.
no code implementations • 12 May 2023 • Yixin Gao, Runsen Feng, Zongyu Guo, Zhibo Chen
By quantifying the decoding complexity as a factor in the optimization goal, we are now able to precisely control the RDC trade-off and then demonstrate how the rate-distortion performance of neural image codecs could adapt to various complexity demands.
no code implementations • ICCV 2023 • Ruoyu Feng, Yixin Gao, Xin Jin, Runsen Feng, Zhibo Chen
Nevertheless, they divide the input image into multiple rectangular regions according to semantics and ignore avoiding information interaction among them, causing waste of bitrate and distorted reconstruction of region boundaries.
no code implementations • 5 Jul 2022 • Ruoyu Feng, Xin Jin, Zongyu Guo, Runsen Feng, Yixin Gao, Tianyu He, Zhizheng Zhang, Simeng Sun, Zhibo Chen
Learning a kind of feature that is both general (for AI tasks) and compact (for compression) is pivotal for its success.
no code implementations • 25 Jan 2022 • Xin Jin, Ruoyu Feng, Simeng Sun, Runsen Feng, Tianyu He, Zhibo Chen
Traditional media coding schemes typically encode image/video into a semantic-unknown binary stream, which fails to directly support downstream intelligent tasks at the bitstream level.
1 code implementation • 26 Dec 2021 • Zongyu Guo, Runsen Feng, Zhizheng Zhang, Xin Jin, Zhibo Chen
Neural video codecs have demonstrated great potential in video transmission and storage applications.
no code implementations • NeurIPS 2021 • Runsen Feng, Zongyu Guo, Zhizheng Zhang, Zhibo Chen
We show that the flow prediction module can largely reduce the transmission cost of voxel flows.
no code implementations • 12 Apr 2021 • Zongyu Guo, Zhizheng Zhang, Runsen Feng, Zhibo Chen
Quantization is one of the core components in lossy image compression.
no code implementations • 19 Nov 2020 • Zongyu Guo, Zhizheng Zhang, Runsen Feng, Zhibo Chen
In this paper, we propose the concept of separate entropy coding to leverage a serial decoding process for causal contextual entropy prediction in the latent space.