5 papers
Generative Video Compression Based on Hierarchical Referencing
Daowen Li, Ding Ding, Zifu Zhang +2
Diffusion-based generative video compression has emerged as a promising paradigm to improve perceptual quality, where latent frames are required to be encoded efficiently while ser…
Benchmarking and Enhancing VLM for Compressed Image Understanding
Zifu Zhang, Tongda Xu, Siqi Li +4
With the rapid development of Vision-Language Models (VLMs) and the growing demand for their applications, efficient compression of the image inputs has become increasingly importa…
Machines Serve Human: A Novel Variable Human-machine Collaborative Compression Framework
Zifu Zhang, Shengxi Li, Xiancheng Sun +3
Human-machine collaborative compression has been receiving increasing research efforts for reducing image/video data, serving as the basis for both human perception and machine int…
Hierarchical Semantic Compression for Consistent Image Semantic Restoration
Shengxi Li, Zifu Zhang, Mai Xu +3
The emerging semantic compression has been receiving increasing research efforts most recently, capable of achieving high fidelity restoration during compression, even at extremely…
Continuous Patch Stitching for Block-wise Image Compression
Zifu Zhang, Shengxi Li, Henan Liu +2
Most recently, learned image compression methods have outpaced traditional hand-crafted standard codecs. However, their inference typically requires to input the whole image at the…