Search Results for author: Or Perel

Found 7 papers, 2 papers with code

SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation

1 code implementation31 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.

3D Shape Modeling

SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization

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.

Representation Learning

READ: Recursive Autoencoders for Document Layout Generation

no code implementations1 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.

Can You Read Me Now? Content Aware Rectification using Angle Supervision

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)

Learning Multimodal Affinities for Textual Editing in Images

no code implementations18 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.

Mesh Draping: Parametrization-Free Neural Mesh Transfer

no code implementations11 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.

SKED: Sketch-guided Text-based 3D Editing

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.

Text to 3D

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