13 citations · 18 across the 7 of their papers we have counts for
10 papers · 1 filter
Prediction of Scene Plausibility
Or Nachmias, Ohad Fried, Ariel Shamir
Understanding the 3D world from 2D images involves more than detection and segmentation of the objects within the scene. It also includes the interpretation of the structure and ar…
Neural Font Rendering
Daniel Anderson, Ariel Shamir, Ohad Fried
Recent advances in deep learning techniques and applications have revolutionized artistic creation and manipulation in many domains (text, images, music); however, fonts have not y…
DDNeRF: Depth Distribution Neural Radiance Fields
David Dadon, Ohad Fried, Yacov Hel-Or
In recent years, the field of implicit neural representation has progressed significantly. Models such as neural radiance fields (NeRF), which uses relatively small neural networks…
Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images
Ayush Tewari, Mallikarjun B R, Xingang Pan +3
Learning 3D generative models from a dataset of monocular images enables self-supervised 3D reasoning and controllable synthesis. State-of-the-art 3D generative models are GANs whi…
Endless Loops: Detecting and Animating Periodic Patterns in Still Images
Tavi Halperin, Hanit Hakim, Orestis Vantzos +6
We present an algorithm for producing a seamless animated loop from a single image. The algorithm detects periodic structures, such as the windows of a building or the steps of a s…
Iterative Text-based Editing of Talking-heads Using Neural Retargeting
Xinwei Yao, Ohad Fried, Kayvon Fatahalian +1
We present a text-based tool for editing talking-head video that enables an iterative editing workflow. On each iteration users can edit the wording of the speech, further refine m…