Publications (6)
EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset
Peiqi Duan, Boyu Li, Yixin Yang +4
Event cameras are emerging imaging technology that offers advantages over conventional frame-based imaging sensors in dynamic range and sensing speed. Complementing the rich textur…
Learning to Deblur Polarized Images
Chu Zhou, Minggui Teng, Xinyu Zhou +3
A polarization camera can capture four linear polarized images with different polarizer angles in a single shot, which is useful in polarization-based vision applications since the…
EvTurb: Event Camera Guided Turbulence Removal
Yixing Liu, Minggui Teng, Yifei Xia +2
Atmospheric turbulence degrades image quality by introducing blur and geometric tilt distortions, posing significant challenges to downstream computer vision tasks. Existing single…
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation
Hanyue Lou, Jinxiu Liang, Minggui Teng +2
Event-based cameras offer unique advantages such as high temporal resolution, high dynamic range, and low power consumption. However, the massive storage requirements and I/O burde…
Video Generation Models Are Inherent Lighting Estimators
Ziqi Cai, Shuchen Weng, Kaiqi Liu +5
Recovering dynamic environment maps from a single in-the-wild video is crucial for photorealistic rendering, yet remains a challenge. Recent video generation models can produce pho…
PanoWan: Lifting Diffusion Video Generation Models to 360° with Latitude/Longitude-aware Mechanisms
Yifei Xia, Shuchen Weng, Siqi Yang +6
Panoramic video generation enables immersive 360° content creation, valuable in applications that demand scene-consistent world exploration. However, existing panoramic video gene…