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Event-Based Video Reconstruction
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Event-Based Video Reconstruction aims to generate a sequence of intensity frames from an asynchronous stream of events (per-pixel brightness change signals outputted by an event camera).
논문
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Gradient events: improved acquisition of visual information in event cameras
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction
Enhanced Event-Based Video Reconstruction with Motion Compensation
EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset
HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
An Asynchronous Kalman Filter for Hybrid Event Cameras
Reducing the Sim-to-Real Gap for Event Cameras
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.