4 papers
EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame Interpolation
Ziran Zhang, Xiaohui Li, Yihao Liu +4
Video frame interpolation (VFI) in scenarios with large motion remains challenging due to motion ambiguity between frames. While event cameras can capture high temporal resolution…
Event-assisted 12-stop HDR Imaging of Dynamic Scene
Shi Guo, Zixuan Chen, Ziran Zhang +3
High dynamic range (HDR) imaging is a crucial task in computational photography, which captures details across diverse lighting conditions. Traditional HDR fusion methods face limi…
From Sim-to-Real: Toward General Event-based Low-light Frame Interpolation with Per-scene Optimization
Ziran Zhang, Yongrui Ma, Yueting Chen +4
Video Frame Interpolation (VFI) is important for video enhancement, frame rate up-conversion, and slow-motion generation. The introduction of event cameras, which capture per-pixel…
Physical prior guided cooperative learning framework for joint turbulence degradation estimation and infrared video restoration
Ziran Zhang, Yuhang Tang, Zhigang Wang +2
Infrared imaging and turbulence strength measurements are in widespread demand in many fields. This paper introduces a Physical Prior Guided Cooperative Learning (P2GCL) framework…