1 code implementation • 22 Mar 2024 • Yuanbang Liang, Bhavesh Garg, Paul L Rosin, Yipeng Qin
Our main idea is that downscaling and super-resolution (SR) can be viewed as the encoding and decoding processes in the rate-distortion model, respectively, and that a downscaling algorithm that preserves more details in the resulting low-resolution (LR) images should lead to less distorted high-resolution (HR) images in SR.
1 code implementation • ICCV 2023 • Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
Thanks to our discovery of Feature Proliferation, the proposed feature rescaling method is less destructive and retains more useful image features than the truncation trick, as it is more fine-grained and works in a lower-level feature space rather than a high-level latent space.
1 code implementation • 13 Jun 2022 • Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
Despite the extensive studies on Generative Adversarial Networks (GANs), how to reliably sample high-quality images from their latent spaces remains an under-explored topic.