Search Results for author: Gal Metzer

Found 10 papers, 9 papers with code

A Neural Space-Time Representation for Text-to-Image Personalization

1 code implementation24 May 2023 Yuval Alaluf, Elad Richardson, Gal Metzer, Daniel Cohen-Or

We observe that one can significantly improve the convergence and visual fidelity of the concept by introducing a textual bypass, where our neural mapper additionally outputs a residual that is added to the output of the text encoder.


Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes

1 code implementation23 Mar 2023 Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or

We show that using proxies allows a wide variety of editing options, such as adjusting the placement of each independent object, removing objects from a scene, or refining an object.

Image Generation Text to 3D

TEXTure: Text-Guided Texturing of 3D Shapes

1 code implementation3 Feb 2023 Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or

In this paper, we present TEXTure, a novel method for text-guided generation, editing, and transfer of textures for 3D shapes.

Image Generation text-guided-generation

TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation

no code implementations11 Oct 2022 William Gao, April Wang, Gal Metzer, Raymond A. Yeh, Rana Hanocka

We present TetGAN, a convolutional neural network designed to generate tetrahedral meshes.

NeuralMLS: Geometry-Aware Control Point Deformation

1 code implementation5 Jan 2022 Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or

In this work, we opt to learn the weighting function, by training a neural network on the control points from a single input shape, and exploit the innate smoothness of neural networks.

Orienting Point Clouds with Dipole Propagation

1 code implementation4 May 2021 Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or

In the global phase, we propagate the orientation across all coherent patches using a dipole propagation.

Self-Sampling for Neural Point Cloud Consolidation

1 code implementation14 Aug 2020 Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or

We introduce a novel technique for neural point cloud consolidation which learns from only the input point cloud.

Inductive Bias

Point2Mesh: A Self-Prior for Deformable Meshes

2 code implementations22 May 2020 Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or

We optimize the network weights to deform an initial mesh to shrink-wrap a single input point cloud.

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