most citedSurvey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization

11 citations · 11 across the 3 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2024

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration

Yulin Ren, Xin Li, Bingchen Li +5

We present MoE-DiffIR, an innovative universal compressed image restoration (CIR) method with task-customized diffusion priors. This intends to handle two pivotal challenges in the…

eess.IV2024★ 11 cited

Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization

Zhibo Chen, Heming Sun, Li Zhang +1

This paper provides a survey of the latest developments in visual signal coding and processing with generative models. Specifically, our focus is on presenting the advancement of g…