[2508.16557] Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution

Electrical Engineering and Systems Science > Image and Video Processing arXiv:2508.16557 (eess) [Submitted on 22 Aug 2025 (v1), last revised 28 Feb 2026 (this version, v3)] Title:Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution Authors:Tianyi Zhang, Zheng-Peng Duan, Peng-Tao Jiang, Bo Li, Ming-Ming Cheng, Chun-Le Guo, Chongyi Li View a PDF of the paper titled Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution, by Tianyi Zhang and 6 other authors View PDF HTML (experimental) Abstract:Diffusion-based real-world image super-resolution (Real-ISR) methods have demonstrated impressive this http URL achieve efficient Real-ISR, many works employ Variational Score Distillation (VSD) to distill pre-trained stable-diffusion (SD) model for one-step SR with a fixed timestep. However, since SD will perform different generative priors at different timesteps, a fixed timestep is difficult for these methods to fully leverage the generative priors in SD, leading to suboptimal this http URL address this, we propose a \textbf{T}ime-\textbf{A}ware one-step \textbf{D}iffusion Network for Real-ISR (\textbf{TADSR}). We first introduce a Time-Aware VAE Encoder, which projects the same image into different latent features based on this http URL joint dynamic variation of timesteps and latent features, the student model can better align with the input pattern distribution of the pre-trained SD, thereby enabling more effective utilization of SD's ge...