3.2k citations · 3.2k across the 5 of their papers we have counts for
5 papers
Eliminating VAE for Fast and High-Resolution Generative Detail Restoration
Yan Wang, Shijie Zhao, Junlin Li +1
Diffusion models have attained remarkable breakthroughs in the real-world super-resolution (SR) task, albeit at slow inference and high demand on devices. To accelerate inference,…
GenDR: Lighten Generative Detail Restoration
Yan Wang, Shijie Zhao, Kexin Zhang +2
Although recent research applying text-to-image (T2I) diffusion models to real-world super-resolution (SR) has achieved remarkable progress, the misalignment of their targets leads…
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
Bin Ren, Yawei Li, Nancy Mehta +129
This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…
CAMixerSR: Only Details Need More "Attention"
Yan Wang, Yi Liu, Shijie Zhao +2
To satisfy the rapidly increasing demands on the large image (2K-8K) super-resolution (SR), prevailing methods follow two independent tracks: 1) accelerate existing networks by con…
Deep Learning with Coherent Nanophotonic Circuits
Yichen Shen, Nicholas C. Harris, Scott Skirlo +8
Artificial Neural Networks are computational network models inspired by signal processing in the brain. These models have dramatically improved the performance of many learning tas…