no code implementations • 11 May 2024 • Chenxu Jiang, Mingyuan Lin, Chi Zhang, Zhenghai Wang, Lei Yu
Depth from Focus estimates depth by determining the moment of maximum focus from multiple shots at different focal distances, i. e. the Focal Stack.
no code implementations • 11 May 2024 • Chi Zhang, Mingyuan Lin, Xiang Zhang, Chenxu Jiang, Lei Yu
Super-resolution from motion-blurred images poses a significant challenge due to the combined effects of motion blur and low spatial resolution.
no code implementations • 22 Apr 2024 • Mingyuan Lin, Jian Liu, Chi Zhang, Zibo Zhao, Chu He, Lei Yu
To address this challenge, we propose a novel Neuromorphic Shutter Control (NSC) system to avoid motion blurs and alleviate instant noises, where the extremely low latency of events is leveraged to monitor the real-time motion and facilitate the scene-adaptive exposure.
1 code implementation • 29 Sep 2023 • Chi Zhang, Xiang Zhang, Mingyuan Lin, Cheng Li, Chu He, Wen Yang, Gui-Song Xia, Lei Yu
Even though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, the performance is still confined by the resolution gap crossing two modalities in both spatial and temporal domains.
no code implementations • 18 Sep 2023 • Mingyuan Lin, Chi Zhang, Chu He, Lei Yu
To tackle this problem, we propose a novel coarse-to-fine framework, named NETwork of Event-based motion Deblurring with STereo event and intensity cameras (St-EDNet), to recover high-quality images directly from the misaligned inputs, consisting of a single blurry image and the concurrent event streams.
no code implementations • 17 Jul 2023 • Chao Ding, Mingyuan Lin, Haijian Zhang, Jianzhuang Liu, Lei Yu
The stereo event-intensity camera setup is widely applied to leverage the advantages of both event cameras with low latency and intensity cameras that capture accurate brightness and texture information.
no code implementations • 14 Apr 2023 • Yangguang Wang, Xiang Zhang, Mingyuan Lin, Lei Yu, Boxin Shi, Wen Yang, Gui-Song Xia
Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS) images to an undistorted high frame-rate Global Shutter (GS) video is a severely ill-posed problem due to the missing temporal dynamic information in both RS intra-frame scanlines and inter-frame exposures, particularly when prior knowledge about camera/object motions is unavailable.