no code implementations • 1 Sep 2019 • Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor
Creating large varieties of plausible document layouts can be a tedious task, requiring numerous constraints to be satisfied, including local ones relating different semantic elements and global constraints on the general appearance and spacing.
no code implementations • ECCV 2020 • Amir Markovitz, Inbal Lavi, Or Perel, Shai Mazor, Roee Litman
We present CREASE: Content Aware Rectification using Angle Supervision, the first learned method for document rectification that relies on the document's content, the location of the words and specifically their orientation, as hints to assist in the rectification process.
Optical Character Recognition Optical Character Recognition (OCR)
no code implementations • 18 Mar 2021 • Or Perel, Oron Anschel, Omri Ben-Eliezer, Shai Mazor, Hadar Averbuch-Elor
Nowadays, as cameras are rapidly adopted in our daily routine, images of documents are becoming both abundant and prevalent.
1 code implementation • NeurIPS 2021 • Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
Multilayer-perceptrons (MLP) are known to struggle with learning functions of high-frequencies, and in particular cases with wide frequency bands.
no code implementations • 11 Oct 2021 • Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
The method drapes the source mesh over the target geometry and at the same time seeks to preserve the carefully designed characteristics of the source mesh.
1 code implementation • 31 Jan 2022 • Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
Neural implicit fields are quickly emerging as an attractive representation for learning based techniques.
no code implementations • ICCV 2023 • Aryan Mikaeili, Or Perel, Mehdi Safaee, Daniel Cohen-Or, Ali Mahdavi-Amiri
To ensure the generated output adheres to the provided sketches, we propose novel loss functions to generate the desired edits while preserving the density and radiance of the base instance.