Search Results for author: Ariel Shamir

Found 39 papers, 13 papers with code

Implicit Style-Content Separation using B-LoRA

no code implementations21 Mar 2024 Yarden Frenkel, Yael Vinker, Ariel Shamir, Daniel Cohen-Or

In this paper, we introduce B-LoRA, a method that leverages LoRA (Low-Rank Adaptation) to implicitly separate the style and content components of a single image, facilitating various image stylization tasks.

Image Stylization

FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications

no code implementations11 Mar 2024 Yuki Tatsukawa, I-Chao Shen, Anran Qi, Yuki Koyama, Takeo Igarashi, Ariel Shamir

To solve this problem, we present FontCLIP: a model that connects the semantic understanding of a large vision-language model with typographical knowledge.

Attribute Descriptive +2

VCR: Video representation for Contextual Retrieval

1 code implementation12 Feb 2024 Oron Nir, Idan Vidra, Avi Neeman, Barak Kinarti, Ariel Shamir

Streamlining content discovery within media archives requires integrating advanced data representations and effective visualization techniques for clear communication of video topics to users.

Retrieval

Semantify: Simplifying the Control of 3D Morphable Models using CLIP

1 code implementation ICCV 2023 Omer Gralnik, Guy Gafni, Ariel Shamir

We present Semantify: a self-supervised method that utilizes the semantic power of CLIP language-vision foundation model to simplify the control of 3D morphable models.

Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models

no code implementations13 Jul 2023 Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit H. Bermano

Text-to-image (T2I) personalization allows users to guide the creative image generation process by combining their own visual concepts in natural language prompts.

Image Generation

HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution

no code implementations7 Jul 2023 Jia-Qi Zhang, Hao-Bin Duan, Jun-Long Chen, Ariel Shamir, Miao Wang

By utilizing the lane features in the Hough parameter space, the network learns dynamic convolution kernel parameters corresponding to each lane, allowing the Dynamic Convolution Module to effectively differentiate between lane features.

Autonomous Driving Lane Detection

Concept Decomposition for Visual Exploration and Inspiration

no code implementations29 May 2023 Yael Vinker, Andrey Voynov, Daniel Cohen-Or, Ariel Shamir

Each node in the tree represents a sub-concept using a learned vector embedding injected into the latent space of a pretrained text-to-image model.

PersonalTailor: Personalizing 2D Pattern Design from 3D Garment Point Clouds

no code implementations17 Mar 2023 Sauradip Nag, Anran Qi, Xiatian Zhu, Ariel Shamir

Garment pattern design aims to convert a 3D garment to the corresponding 2D panels and their sewing structure.

Decoder

Word-As-Image for Semantic Typography

no code implementations3 Mar 2023 Shir Iluz, Yael Vinker, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir

A word-as-image is a semantic typography technique where a word illustration presents a visualization of the meaning of the word, while also preserving its readability.

ARO-Net: Learning Implicit Fields from Anchored Radial Observations

1 code implementation CVPR 2023 Yizhi Wang, Zeyu Huang, Ariel Shamir, Hui Huang, Hao Zhang, Ruizhen Hu

We introduce anchored radial observations (ARO), a novel shape encoding for learning implicit field representation of 3D shapes that is category-agnostic and generalizable amid significant shape variations.

Surface Reconstruction

Prediction of Scene Plausibility

no code implementations2 Dec 2022 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.

Scene Understanding

CLIPascene: Scene Sketching with Different Types and Levels of Abstraction

no code implementations ICCV 2023 Yael Vinker, Yuval Alaluf, Daniel Cohen-Or, Ariel Shamir

In this paper, we present a method for converting a given scene image into a sketch using different types and multiple levels of abstraction.

Disentanglement

Neural Font Rendering

1 code implementation27 Nov 2022 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 yet been integrated with deep learning architectures in a manner that supports their multi-scale nature.

DeepPortraitDrawing: Generating Human Body Images from Freehand Sketches

no code implementations4 May 2022 Xian Wu, Chen Wang, Hongbo Fu, Ariel Shamir, Song-Hai Zhang, Shi-Min Hu

Researchers have explored various ways to generate realistic images from freehand sketches, e. g., for objects and human faces.

Image Generation Sketch-to-Image Translation

Semantic Segmentation in Art Paintings

1 code implementation7 Mar 2022 Nadav Cohen, Yael Newman, Ariel Shamir

In this paper, we tackle the problem of semantic segmentation of artistic paintings, an even more challenging task because of a much larger diversity in colors, textures, and shapes and because there are no ground truth annotations available for segmentation.

Domain Adaptation Segmentation +2

How Low Can We Go? Pixel Annotation for Semantic Segmentation

no code implementations25 Jan 2022 Daniel Kigli, Ariel Shamir, Shai Avidan

Based on this single-image-annotation experiment, we design an experiment to quickly annotate an entire data set.

Active Learning Semantic Segmentation

CAST: Character labeling in Animation using Self-supervision by Tracking

1 code implementation19 Jan 2022 Oron Nir, Gal Rapoport, Ariel Shamir

Using this space we can build dictionaries of characters in an animation videos, and define specialized classifiers for specific stylistic content (e. g., characters in a specific animation series) with very little user effort.

Multi-Object Tracking Representation Learning

Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure

no code implementations23 Nov 2021 Andreas Aristidou, Anastasios Yiannakidis, Kfir Aberman, Daniel Cohen-Or, Ariel Shamir, Yiorgos Chrysanthou

In this work, we present a music-driven motion synthesis framework that generates long-term sequences of human motions which are synchronized with the input beats, and jointly form a global structure that respects a specific dance genre.

Motion Synthesis

Ordered Attention for Coherent Visual Storytelling

no code implementations4 Aug 2021 Tom Braude, Idan Schwartz, Alexander Schwing, Ariel Shamir

OIA models interactions between the sentence-corresponding image and important regions in other images of the sequence.

Sentence Visual Storytelling

InAugment: Improving Classifiers via Internal Augmentation

1 code implementation8 Apr 2021 Moab Arar, Ariel Shamir, Amit Bermano

Image augmentation techniques apply transformation functions such as rotation, shearing, or color distortion on an input image.

Image Augmentation

Neural Alignment for Face De-pixelization

no code implementations29 Sep 2020 Maayan Shuvi, Noa Fish, Kfir Aberman, Ariel Shamir, Daniel Cohen-Or

Although simple, our framework synthesizes high-quality face reconstructions, demonstrating that given the statistical prior of a human face, multiple aligned pixelated frames contain sufficient information to reconstruct a high-quality approximation of the original signal.

NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits

no code implementations1 Sep 2020 Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son, Holger Winnemoller

Despite the recent upsurge of activity in image-based non-photorealistic rendering (NPR), and in particular portrait image stylisation, due to the advent of neural style transfer, the state of performance evaluation in this field is limited, especially compared to the norms in the computer vision and machine learning communities.

Style Transfer

Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features

no code implementations15 Jul 2020 Moab Arar, Noa Fish, Dani Daniel, Evgeny Tenetov, Ariel Shamir, Amit Bermano

Drawing inspiration from Parameter Continuation methods, we propose steering the training process to consider specific features in the input more than others, through gradual shifts in the input domain.

Image Classification

Predictive and Generative Neural Networks for Object Functionality

1 code implementation28 Jun 2020 Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver van Kaick, Ariel Shamir, Hao Zhang, Hui Huang

Given a 3D object in isolation, our functional similarity network (fSIM-NET), a variation of the triplet network, is trained to predict the functionality of the object by inferring functionality-revealing interaction contexts.

Object

Lean Images for Geo-Localization

no code implementations25 Sep 2019 Moti Kadosh, Yael Moses, Ariel Shamir

In this paper we consider the geo-localization task - finding the pose of a camera in a large 3D scene from a single lean image, i. e. an image with no texture.

On the Role of Geometry in Geo-Localization

no code implementations26 Jun 2019 Moti Kadosh, Yael Moses, Ariel Shamir

We find that the network is capable of estimating the camera pose from the lean images, and it does so not by memorization but by some measure of geometric learning of the geographical area.

Memorization

Image Resizing by Reconstruction from Deep Features

no code implementations17 Apr 2019 Moab Arar, Dov Danon, Daniel Cohen-Or, Ariel Shamir

In this paper we perform image resizing in feature space where the deep layers of a neural network contain rich important semantic information.

Deep motifs and motion signatures

1 code implementation ACM Transactions on Graphics 2018 Andreas Aristidou, Daniel Cohen-Or, Jessica K. Hodgins, Yiorgos Chrysanthou, Ariel Shamir

In this paper we introduce motion motifs and motion signatures that are a succinct but descriptive representation of motion sequences.

Descriptive

Deep Portrait Image Completion and Extrapolation

no code implementations23 Aug 2018 Xian Wu, Rui-Long Li, Fang-Lue Zhang, Jian-Cheng Liu, Jue Wang, Ariel Shamir, Shi-Min Hu

We evaluate our method on public portrait image datasets, and show that it outperforms other state-of-art general image completion methods.

Graphics

GRAINS: Generative Recursive Autoencoders for INdoor Scenes

no code implementations24 Jul 2018 Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao Zhang

We present a generative neural network which enables us to generate plausible 3D indoor scenes in large quantities and varieties, easily and highly efficiently.

Graphics

Deep Online Video Stabilization

4 code implementations22 Feb 2018 Miao Wang, Guo-Ye Yang, Jin-Kun Lin, Ariel Shamir, Song-Hai Zhang, Shao-Ping Lu, Shi-Min Hu

In this paper, we solve the video stabilization problem using a convolutional neural network (ConvNet).

Graphics

Sketch2Photo: Internet Image Montage

no code implementations ACM Transactions on Graphics 2009 Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu

The composed picture is generated by seamlessly stitching several photographs in agreement with the sketch and text labels; these are found by searching the Internet.

Image Retrieval

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