https://github.com/CIRS-Girona/ecarla-scenes
공식 코드eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
Papers with Code 아카이브
Event-based Optical Flow
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CIRS-Girona/ewiz
공식 코드eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
https://github.com/ahmedhumais/e-stmflow
공식 코드Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow
https://github.com/chan8972/Spike-FlowNet
공식 코드Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
https://github.com/ispc-lab/tma
공식 코드TMA: Temporal Motion Aggregation for Event-based Optical Flow
https://github.com/mapolinario94/s-tllr
공식 코드S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
https://github.com/ruizhao26/ste-flownet
공식 코드Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
https://github.com/shicy17/ido-vfi
공식 코드IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events
https://github.com/tub-rip/event_based_bos
공식 코드https://github.com/tub-rip/event_based_optical_flow
공식 코드https://github.com/tudelft/idnet
공식 코드Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
https://github.com/uzh-rpg/event-based_vision_resources
공식 코드https://github.com/vbrebion/rt_of_low_high_res_event_cameras
공식 코드Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras
https://github.com/wponghiran/temporally_dense_flow
공식 코드Event-based Temporally Dense Optical Flow Estimation with Sequential Learning
https://github.com/yingfuxu/ann_vs_snn_evflow
공식 코드https://github.com/yitian97/SDformerFlow
공식 코드SDformerFlow: Spatiotemporal swin spikeformer for event-based optical flow estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.