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DAVANet: Stereo Deblurring With View Aggregation

CVPR 2019 · 3D vision › Depth and stereo · approach: Learned stereo with specialized sensors · 103 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add stereo depth awareness and view aggregationDeblurNet · Stereo Blur DatasetPSNR: 31.97 -> 33.19Helped
Add stereo depth awareness and view aggregationDeblurNet · Stereo Blur DatasetSSIM: 0.9507 -> 0.9586Helped
Use a Context Module instead of a one-path convolution block (ablation)DAVANet · Stereo Blur DatasetPSNR: 31.40 -> 33.19Helped
Use a Context Module instead of a one-path convolution block (ablation)DAVANet · Stereo Blur DatasetSSIM: 0.9461 -> 0.9586Helped
Add disparity supervision and depth information (ablation)DAVANet · Stereo Blur DatasetPSNR: 32.69 -> 33.19Helped
Add disparity supervision and depth information (ablation)DAVANet · Stereo Blur DatasetSSIM: 0.9569 -> 0.9586Helped
Add view aggregation from the other stereo view (ablation)DAVANet · Stereo Blur DatasetPSNR: 32.53 -> 33.19Helped
Add view aggregation from the other stereo view (ablation)DAVANet · Stereo Blur DatasetSSIM: 0.9558 -> 0.9586Helped
Use DeblurNet with its Context ModuleDeblurNet · GOPROPSNR: 30.26 -> 30.55Helped
Use DeblurNet with its Context ModuleDeblurNet · GOPROSSIM: 0.9342 -> 0.9400Helped

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