Search Results for author: Steve Bako

Found 3 papers, 1 papers with code

Deep Appearance Prefiltering

no code implementations8 Nov 2022 Steve Bako, Pradeep Sen, Anton Kaplanyan

The goal of an ideal level of detail (LoD) method is to make rendering costs independent of the 3D scene complexity, while preserving the appearance of the scene.

Kernel-predicting convolutional networks for denoising monte carlo renderings.

no code implementations ACM Transactions on Graphics 2017 Steve Bako, Thijs Vogels, Brian McWilliams, Mark Meyer, Jan Novák, Alex Harvill, Pradeep Sen, Tony Derose, Fabrice Rousselle

In a second approach, we introduce a novel, kernel-prediction network which uses the CNN to estimate the local weighting kernels used to compute each denoised pixel from its neighbors.

Denoising

Removing Shadows from Images of Documents

2 code implementations ACCV 2017 Steve Bako, Soheil Darabi, Eli Shechtman, Jue Wang, Kalyan Sunkavalli, Pradeep Sen

In this work, we automatically detect and remove distracting shadows from photographs of documents and other text-based items.

Document Shadow Removal

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