8 citations · 12 across the 11 of their papers we have counts for
5 papers · 1 filter
RealOSR: Latent Guidance Boosts Diffusion-based Real-world Omnidirectional Image Super-Resolutions
Xuhan Sheng, Runyi Li, Bin Chen +3
Omnidirectional image super-resolution (ODISR) aims to upscale low-resolution (LR) omnidirectional images (ODIs) to high-resolution (HR), catering to the growing demand for detaile…
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model
Runyi Li, Xuhan Sheng, Weiqi Li +1
Omnidirectional images (ODIs) are commonly used in real-world visual tasks, and high-resolution ODIs help improve the performance of related visual tasks. Most existing super-resol…
V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection
Xuanyu Zhang, Youmin Xu, Runyi Li +4
AI-generated video has revolutionized short video production, filmmaking, and personalized media, making video local editing an essential tool. However, this progress also blurs th…
Invertible Diffusion Models for Compressed Sensing
Bin Chen, Zhenyu Zhang, Weiqi Li +5
While deep neural networks (NN) significantly advance image compressed sensing (CS) by improving reconstruction quality, the necessity of training current CS NNs from scratch const…
360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model
Qian Wang, Weiqi Li, Chong Mou +2
Panorama video recently attracts more interest in both study and application, courtesy of its immersive experience. Due to the expensive cost of capturing 360-degree panoramic vide…