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We introduce a model that learns to convert simple hand drawings into graphics programs written in a subset of \LaTeX. The model combines techniques from deep learning and program synthesis. We learn a convolutional neural network that…

Artificial Intelligence · Computer Science 2018-10-30 Kevin Ellis , Daniel Ritchie , Armando Solar-Lezama , Joshua B. Tenenbaum

Generating images that fit a given text description using machine learning has improved greatly with the release of technologies such as the CLIP image-text encoder model; however, current methods lack artistic control of the style of image…

Computer Vision and Pattern Recognition · Computer Science 2022-02-28 Peter Schaldenbrand , Zhixuan Liu , Jean Oh

Clustering is a powerful tool in data analysis, but it is often difficult to find a grouping that aligns with a user's needs. To address this, several methods incorporate constraints obtained from users into clustering algorithms, but…

Machine Learning · Computer Science 2016-04-28 Sharad Vikram , Sanjoy Dasgupta

This paper proposes a computational approach for analysis of strokes in line drawings by artists. We aim at developing an AI methodology that facilitates attribution of drawings of unknown authors in a way that is not easy to be deceived by…

Image and Video Processing · Electrical Eng. & Systems 2017-11-13 Ahmed Elgammal , Yan Kang , Milko Den Leeuw

We present a fully automatic method to generate detailed and accurate artistic shadows from pairs of line drawing sketches and lighting directions. We also contribute a new dataset of one thousand examples of pairs of line drawings and…

Computer Vision and Pattern Recognition · Computer Science 2020-04-06 Qingyuan Zheng , Zhuoru Li , Adam Bargteil

The behaviour of many real-world phenomena can be modelled by nonlinear dynamical systems whereby a latent system state is observed through a filter. We are interested in interacting subsystems of this form, which we model by a set of…

Machine Learning · Computer Science 2017-02-20 Oliver M. Cliff , Mikhail Prokopenko , Robert Fitch

We present a system to convert any set of images (e.g., a video clip or a photo album) into a storyboard. We aim to create multiple pleasing graphic representations of the content at interactive rates, so the user can explore and find the…

In sequential recommender system applications, it is important to develop models that can capture users' evolving interest over time to successfully recommend future items that they are likely to interact with. For users with long…

Information Retrieval · Computer Science 2021-12-15 Aritra Ghosh , Saayan Mitra , Andrew Lan

Stroke fragmentation is one of the key steps in pen-based interaction. In this letter, we present a unified HMM-based stroke fragmentation technique that can do segment point location and primitive type determination simultaneously. The…

Human-Computer Interaction · Computer Science 2008-12-05 Guihuan Feng , Christian Viard-Gaudin

Grid layouts are used by designers to spatially organise user interfaces when sketching and wireframing. However, their design is largely time consuming manual work. This is challenging due to combinatorial explosion and complex objectives,…

Human-Computer Interaction · Computer Science 2020-01-10 Niraj Dayama , Kashyap Todi , Taru Saarelainen , Antti Oulasvirta

In this paper, we introduce SynthAI, a new method for the automated creation of High-Level Synthesis (HLS) designs. SynthAI integrates ReAct agents, Chain-of-Thought (CoT) prompting, web search technologies, and the Retrieval-Augmented…

Artificial Intelligence · Computer Science 2024-09-24 Seyed Arash Sheikholeslam , Andre Ivanov

Can a user create a deep generative model by sketching a single example? Traditionally, creating a GAN model has required the collection of a large-scale dataset of exemplars and specialized knowledge in deep learning. In contrast,…

Computer Vision and Pattern Recognition · Computer Science 2021-09-21 Sheng-Yu Wang , David Bau , Jun-Yan Zhu

Generating images that fit a given text description using machine learning has improved greatly with the release of technologies such as the CLIP image-text encoder model; however, current methods lack artistic control of the style of image…

Computer Vision and Pattern Recognition · Computer Science 2022-03-02 Peter Schaldenbrand , Zhixuan Liu , Jean Oh

Designing and analysing multiparty distributed interactions can be achieved either by means of a global view (e.g. in choreography-based approaches) or by composing available computational entities (e.g. in service orchestration). This…

Programming Languages · Computer Science 2012-04-13 Julien Lange , Emilio Tuosto

We present a framework for interactive design of new image stylizations using a wide range of predefined filter blocks. Both novel and off-the-shelf image filtering and rendering techniques are extended and combined to allow the user to…

Graphics · Computer Science 2020-02-26 Ignacio Garcia-Dorado , Pascal Getreuer , Bartlomiej Wronski , Peyman Milanfar

In this article, we establish a class of new projected type iteration methods based on matrix spitting for solving the linear complementarity problem. Also, we provide a sufficient condition for the convergence analysis when the system…

Optimization and Control · Mathematics 2023-05-10 Bharat Kumar , Deepmala , A. K. Das

Feature representation plays a crucial role in visual correspondence, and recent methods for image matching resort to deeply stacked convolutional layers. These models, however, are both monolithic and static in the sense that they…

Computer Vision and Pattern Recognition · Computer Science 2020-07-22 Juhong Min , Jongmin Lee , Jean Ponce , Minsu Cho

Recent novel view synthesis methods obtain promising results for relatively small scenes, e.g., indoor environments and scenes with a few objects, but tend to fail for unbounded outdoor scenes with a single image as input. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2023-09-14 Xiaoyu Zhou , Zhiwei Lin , Xiaojun Shan , Yongtao Wang , Deqing Sun , Ming-Hsuan Yang

Knitting, an ancient fiber art, creates a structured fabric consisting of loops or stitches. Publishing hand knitting patterns involves lengthy testing periods and numerous knitters. Modeling knitting patterns with graphs can help expedite…

Human-Computer Interaction · Computer Science 2024-06-21 Kathryn Gray , Brian Bell , Stephen Kobourov

Sketch-based image editing aims to synthesize and modify photos based on the structural information provided by the human-drawn sketches. Since sketches are difficult to collect, previous methods mainly use edge maps instead of sketches to…

Computer Vision and Pattern Recognition · Computer Science 2020-01-10 Shuai Yang , Zhangyang Wang , Jiaying Liu , Zongming Guo