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EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting
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EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting
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3D deblurring reconstruction techniques have recently seen significant advancements with the development of Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS). Although these techniques can recover relatively clear 3D reconstructions from blurry image inputs, they still face limitations in handling severe blurring and complex camera motion. To address these issues, we propose Event-assisted 3D Deblur Reconstruction with Gaussian Splatting (EaDeblur-GS), which integrates event camera data to enhance the robustness of 3DGS against motion blur. By employing an Adaptive Deviation Estimator (ADE) network to estimate Gaussian center deviations and using novel loss functions, EaDeblur-GS achieves sharp 3D reconstructions in real-time, demonstrating performance comparable to state-of-the-art methods.
Forward citations
Cited by 4 Pith papers
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JADE-GS: Joint Allocation of Deblurring Evidence for Event-Assisted 3D Gaussian Splatting
JADE-GS trains a small per-pixel router to combine analytical event-inversion and learned frame–event restoration as extra supervision for 3D Gaussian Splatting, improving perceptual and fidelity metrics on event-debl...
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JADE-GS: Joint Allocation of Deblurring Evidence for Event-Assisted 3D Gaussian Splatting
Fusing a physics-based event deblurring prior with a learned refiner through an adaptive gate, and letting 3D Gaussian Splatting renders regularize the deblurrer in a bidirectional loop, yields state-of-the-art percep...
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AsyncEvGS: Asynchronous Event-Assisted Gaussian Splatting for Handheld Motion-Blurred Scenes
AsyncEvGS reconstructs high-fidelity 3D scenes from motion-blurred images by first deblurring via event data then using VGGT-based pose estimation and structure-driven losses inside Gaussian Splatting.
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Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey
A structured survey of event-camera-guided video restoration and 3D reconstruction, organized by temporal, spatial, and 3D tasks.
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