EVS-Assisted Joint Deblurring, Rolling-Shutter Correction and Video Frame Interpolation Through Sensor Inverse Modeling
Rui Jiang, Fangwen Tu, Yixuan Long, Aabhaas Vaish, Bowen Zhou, Qinyi Wang, Wei Zhang, Yuntan Fang, Luis Eduardo Garcia Capel, Bo Mu, Tiejun Dai, Andreas Suess
摘要
e) Time Lens (f) FILM (g) CBMNet (b) Ours (c) EDI (d) AKF (a) CIS frame basketball slingshot egg (h) EvUnroll (i) REFID (j) Ground truth Figure 1. Qualitative results comparing the proposed method with EDI [27], AKF [39], Time Lens [37], FILM [32], CBMNet [23], EvUnroll [44], and REFID [36] on simulation datasets. In the "basketball" scene, our method provides frames that are rolling shutter effect corrected and deblurred. In the "slingshot egg" scene, our method can reconstruct the shape of the pellet with the best quality, as indicated in the yellow box. The images have been magnified for optimal viewing quality.
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- End-to-End Learning of Representations for Asynchronous Event-Based DataDaniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide ScaramuzzaICCV 2019 · 被引用 427 次
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- Unifying Motion Deblurring and Frame Interpolation with EventsXiang Zhang, Lei YuCVPR 2022 · 被引用 85 次
- An Asynchronous Kalman Filter for Hybrid Event CamerasZiwei Wang, Yonhon Ng, Cedric Scheerlinck, Robert E. MahonyICCV 2021 · 被引用 49 次
- EvUnroll: Neuromorphic Events based Rolling Shutter Image CorrectionXinyu Zhou, Peiqi Duan, Yi Ma, Boxin ShiCVPR 2022 · 被引用 29 次
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