Papers Event-Based Video Reconstruction
“Event-Based Video Reconstruction” 태그가 달린 논문 14편 · 필터 해제
LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models
Recovering high-quality video from sparse event streams is a challenging task. Regression methods often blur textures, while existing generative models struggle with long-term stability. We propose LongE2V, a novel appro…
Event-Based Video ReconstructionZero-shot GeneralizationIE2Video: Adapting Pretrained Diffusion Models for Event-Based Video Reconstruction
Continuous video monitoring in surveillance, robotics, and wearable systems faces a fundamental power constraint: conventional RGB cameras consume substantial energy through fixed-rate capture. Event cameras offer sparse…
Event-Based Video ReconstructionEventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction
Leveraging its robust linear global modeling capability, Mamba has notably excelled in computer vision. Despite its success, existing Mamba-based vision models have overlooked the nuances of event-driven tasks, especiall…
Event-Based Video ReconstructionMambaState Space ModelsVideo ReconstructionUnified Reconstruction of Static and Dynamic Scenes from Events
This paper addresses the challenge that current event-based video reconstruction methods cannot produce static background information. Recent research has uncovered the potential of event cameras in capturing static …
Event-Based Video ReconstructionVideo ReconstructionGradient events: improved acquisition of visual information in event cameras
The current event cameras are bio-inspired sensors that respond to brightness changes in the scene asynchronously and independently for every pixel, and transmit these changes as ternary event streams. Event cameras have…
Event-Based Video ReconstructionVideo ReconstructionTemporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction
Event-based video reconstruction has garnered increasing attention due to its advantages, such as high dynamic range and rapid motion capture capabilities. However, current methods often prioritize the extraction of temp…
DenoisingEvent-Based Video ReconstructionVideo ReconstructionEnhanced Event-Based Video Reconstruction with Motion Compensation
Deep neural networks for event-based video reconstruction often suffer from a lack of interpretability and have high memory demands. A lightweight network called CISTA-LSTC has recently been introduced showing that high-…
Event-Based Video ReconstructionMotion CompensationVideo ReconstructionEventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset
Event cameras are emerging imaging technology that offers advantages over conventional frame-based imaging sensors in dynamic range and sensing speed. Complementing the rich texture and color perception of traditional im…
BenchmarkingDeblurringEvent-Based Video ReconstructionImage Deblurring+5HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks
Event-based cameras are becoming increasingly popular for their ability to capture high-speed motion with low latency and high dynamic range. However, generating videos from events remains challenging due to the highly s…
Event-Based Video ReconstructionVideo ReconstructionEVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction
Event cameras are a new type of vision sensor that incorporates asynchronous and independent pixels, offering advantages over traditional frame-based cameras such as high dynamic range and minimal motion blur. However, t…
Event-Based Video ReconstructionEvent-based visionVideo ReconstructionEvent-based Video Reconstruction via Potential-assisted Spiking Neural Network
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that reports asynchronous, continuously per-pixel brightness changes called `events' with high temporal resolution and high dynamic range. So far, the eve…
Computational EfficiencyEvent-Based Video ReconstructionImage ReconstructionVideo ReconstructionEvent-Based Video Reconstruction Using Transformer
Event cameras, which output events by detecting spatio-temporal brightness changes, bring a novel paradigm to image sensors with high dynamic range and low latency. Previous works have achieved impressive performance…
Event-based Object SegmentationEvent-Based Video ReconstructionVideo ReconstructionAn Asynchronous Kalman Filter for Hybrid Event Cameras
Event cameras are ideally suited to capture HDR visual information without blur but perform poorly on static or slowly changing scenes. Conversely, conventional image sensors measure absolute intensity of slowly changing…
Event-Based Video ReconstructionVideo ReconstructionReducing the Sim-to-Real Gap for Event Cameras
Event cameras are paradigm-shifting novel sensors that report asynchronous, per-pixel brightness changes called 'events' with unparalleled low latency. This makes them ideal for high speed, high dynamic range scenes wher…
Event-Based Video ReconstructionVideo Reconstruction