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Zoom-to-Inpaint: Image Inpainting with High-Frequency Details
Soo Ye Kim;Kfir Aberman;Nori Kanazawa;Rahul Garg;Neal Wadhwa;Huiwen Chang;Nikhil Karnad;Munchurl Kim;Orly Liba
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (12)
Although deep learning has enabled a huge leap forward in image inpainting, current methods are often unable to synthesize realistic high-frequency details. In this paper, we propose applying super-resolution to coarsely reconstructed outputs, refining them at high resolution, and then downscaling the output to the original resolution. By introducing high-resolution images to the refinement networ...Show More
Sky Optimization: Semantically aware image processing of skies in low-light photography
Orly Liba;Yair Movshovitz-Attias;Longqi Cai;Yael Pritch;Yun-Ta Tsai;Huizhong Chen;Elad Eban;Jonathan T. Barron
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2020 | Conference Paper |
Cited by: Papers (12)
The sky is a major component of the appearance of a photograph, and its color and tone can strongly influence the mood of a picture. In nighttime photography, the sky can also suffer from noise and color artifacts. For this reason, there is a strong desire to process the sky in isolation from the rest of the scene to achieve an optimal look. In this work, we propose an automated method, which can ...Show More
Optimization of the Trade-Off Between Speckle Reduction and Axial Resolution in Frequency Compounding
Yilei Li;Yonatan Winetraub;Orly Liba;Adam de la Zerda;Steven Chu
We measured the reduction of speckle by frequency compounding using Gaussian pulses, which have the least time-bandwidth product. The experimental results obtained from a tissue mimicking phantom agree quantitatively with numerical simulations of randomly distributed point scatterers. For a fixed axial resolution, the amount of speckle reduction is found to approach a maximum as the number of band...Show More
Top-down vs. bottom-up coarse-graining of graphene and CNTs for nanodevice simulation
David Kauzlarić;Orly Liba;Yael Hanein;Pep Español;Andreas Greiner;Sauro Succi;Jan G. Korvink
2012 7th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)
Year: 2012 | Conference Paper |
We present and compare two approaches for the coarse-graining (CG) of models for graphene and carbon nanotubes (CNTs). Such models are required to enable mechanical device simulation on mesoscopic time and length scales hardly reachable by the molecular dynamics method. The first is a heuristic top-down approach while the second performs a rigorous bottom-up CG based upon an atomistic description....Show More
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