13 citations · 29 across the 11 of their papers we have counts for
18 papers
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…
DeepPortraitDrawing: Generating Human Body Images from Freehand Sketches
Xian Wu, Chen Wang, Hongbo Fu +3
Researchers have explored various ways to generate realistic images from freehand sketches, e.g., for objects and human faces. However, how to generate realistic human body images…
Semantic Segmentation in Art Paintings
Nadav Cohen, Yael Newman, Ariel Shamir
Semantic segmentation is a difficult task even when trained in a supervised manner on photographs. In this paper, we tackle the problem of semantic segmentation of artistic paintin…
How Low Can We Go? Pixel Annotation for Semantic Segmentation
Daniel Kigli, Ariel Shamir, Shai Avidan
How many labeled pixels are needed to segment an image, without any prior knowledge? We conduct an experiment to answer this question. In our experiment, an Oracle is using Active…
CLIPasso: Semantically-Aware Object Sketching
Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo +5
Abstraction is at the heart of sketching due to the simple and minimal nature of line drawings. Abstraction entails identifying the essential visual properties of an object or scen…