paper-with-me

Video Reconstruction 벤치마크

Video Reconstruction on MVSEC

8개 결과 · ⬇ CSV · JSON

Mean Squared Error 낮을수록 좋음

0.076 0.1133 0.1505 0.1878 0.225 2019-06 2026-09 E2VID — 0.225 (2019-06-15) E2VID — 0.225 (2019-06-15) E2VID+ — 0.132 (2020-03-20) E2VID+ — 0.132 (2020-03-20) ET-Net — 0.107 (2021-01-01) ET-Net — 0.107 (2021-01-01) HyperE2VID — 0.076 (2023-05-10) HyperE2VID — 0.076 (2023-05-10) E2VID — 0.225 (2019-06-15) E2VID+ — 0.132 (2020-03-20) ET-Net — 0.107 (2021-01-01) HyperE2VID — 0.076 (2023-05-10)
RankModel Mean Squared ErrorLPIPS PaperCodeYear
1 HyperE2VID 0.0760.476 HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks ercanburak/HyperE2VID 2023
2 ET-Net 0.1070.489 Event-Based Video Reconstruction Using Transformer warranweng/et-net 2021
3 E2VID+ 0.1320.514 Reducing the Sim-to-Real Gap for Event Cameras TimoStoff/event_cnn_minimal 2020
4 E2VID 0.2250.644 High Speed and High Dynamic Range Video with an Event Camera uzh-rpg/rpg_e2vid 2019
5 HyperE2VID 0.0760.476 HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks ercanburak/HyperE2VID 2023
6 ET-Net 0.1070.489 Event-Based Video Reconstruction Using Transformer warranweng/et-net 2021
7 E2VID+ 0.1320.514 Reducing the Sim-to-Real Gap for Event Cameras TimoStoff/event_cnn_minimal 2020
8 E2VID 0.2250.644 High Speed and High Dynamic Range Video with an Event Camera uzh-rpg/rpg_e2vid 2019
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