8 citations · 10 across the 5 of their papers we have counts for
4 papers · 1 filter
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
Quanmin Liang, Zhilin Huang, Xiawu Zheng +4
Current Event Stream Super-Resolution (ESR) methods overlook the redundant and complementary information present in positive and negative events within the event stream, employing…
Bilateral Event Mining and Complementary for Event Stream Super-Resolution
Zhilin Huang, Quanmin Liang, Yijie Yu +5
Event Stream Super-Resolution (ESR) aims to address the challenge of insufficient spatial resolution in event streams, which holds great significance for the application of event c…
Motion-aware Latent Diffusion Models for Video Frame Interpolation
Zhilin Huang, Yijie Yu, Ling Yang +6
With the advancement of AIGC, video frame interpolation (VFI) has become a crucial component in existing video generation frameworks, attracting widespread research interest. For t…
Improving Diffusion-Based Image Synthesis with Context Prediction
Ling Yang, Jingwei Liu, Shenda Hong +5
Diffusion models are a new class of generative models, and have dramatically promoted image generation with unprecedented quality and diversity. Existing diffusion models mainly tr…