1 code implementation • 17 Mar 2024 • Ruibin Li, Ruihuang Li, Song Guo, Lei Zhang
Text-driven diffusion models have significantly advanced the image editing performance by using text prompts as inputs.
no code implementations • 25 Nov 2023 • Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang
Specifically, we find that the very last few steps of the denoising (i. e., generation) process strongly correspond to the stylistic information of images, and based on this, we propose to augment the latent features of both the foreground and background images with Gaussians for a direct denoising-based harmonization.
no code implementations • 1 Jun 2023 • Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han
Diffusion-based Generative Models (DGMs) have achieved unparalleled performance in synthesizing high-quality visual content, opening up the opportunity to improve image super-resolution (SR) tasks.
no code implementations • 15 Nov 2022 • Qihua Zhou, Ruibin Li, Song Guo, Peiran Dong, Yi Liu, Jingcai Guo, Zhenda Xu
Recent years have witnessed the dramatic growth of Internet video traffic, where the video bitstreams are often compressed and delivered in low quality to fit the streamer's uplink bandwidth.