15 citations · 27 across the 10 of their papers we have counts for
6 papers · 1 filter
Multi-scale Image Representation Compression
Tianhao Peng, Ho Man Kwan, Fan Zhang +2
Overfitted codecs have demonstrated promising performance for image and video compression. In particular, for image compression, the Cool-chic family of models has shown competitiv…
Scalable Neural Video Representation Compression
Tianhao Peng, Ho Man Kwan, Fan Zhang +2
Scalable video coding (SVC) encodes a video into a layered bitstream consisting of a base layer and one or multiple enhancement layers, enabling decoding at different bitrate/quali…
High-Fidelity Video Compression based on Invertible Neural Transform and Implicit Conditioning
Siyue Teng, Ho Man Kwan, Yuxuan Jiang +2
Learning-based video compression has recently achieved competitive rate-distortion performance compared to conventional video codecs. However, most existing methods rely on non-inv…
Enhanced Neural Video Representation Compression Across Extreme Complexity and Quality Scales
Ho Man Kwan, Tianhao Peng, Fan Zhang +3
Implicit neural representations (INRs) have recently emerged as a promising approach to video compression, delivering competitive rate-distortion performance alongside rapid decodi…
Immersive Video Compression using Implicit Neural Representations
Ho Man Kwan, Fan Zhang, Andrew Gower +1
Recent work on implicit neural representations (INRs) has evidenced their potential for efficiently representing and encoding conventional video content. In this paper we, for the…
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
Ho Man Kwan, Ge Gao, Fan Zhang +2
Learning-based video compression is currently a popular research topic, offering the potential to compete with conventional standard video codecs. In this context, Implicit Neural…