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We introduce the concept of notational animating, an interaction paradigm for animation authoring where users sketch high-level notations over static drawings to indicate intended motions, which are then interpreted by automatic methods…

Human-Computer Interaction · Computer Science 2026-03-10 Xinyu Shi , Li-Yi Wei , Nanxuan Zhao , Jian Zhao , Rubaiat Habib Kazi

Learning parameters from voluminous data can be prohibitive in terms of memory and computational requirements. We propose a "compressive learning" framework where we estimate model parameters from a sketch of the training data. This sketch…

Machine Learning · Computer Science 2017-05-08 Nicolas Keriven , Anthony Bourrier , Rémi Gribonval , Patrick Pérez

We propose a model of a learning agent whose interaction with the environment is governed by a simulation-based projection, which allows the agent to project itself into future situations before it takes real action. Projective simulation…

Adaptation and Self-Organizing Systems · Physics 2015-03-19 Hans J. Briegel , Gemma De las Cuevas

Generative artificial intelligence has shown promise in prompting virtual worlds into existence, yet little attention has been given to understanding how this process unfolds as social interaction. We present Social Conjurer, a framework…

Human-Computer Interaction · Computer Science 2024-10-03 Amina Kobenova , Cyan DeVeaux , Samyak Parajuli , Andrzej Banburski-Fahey , Judith Amores Fernandez , Jaron Lanier

The goal of Scene-level Sketch-Based Image Retrieval is to retrieve natural images matching the overall semantics and spatial layout of a free-hand sketch. Unlike prior work focused on architectural augmentations of retrieval models, we…

Computer Vision and Pattern Recognition · Computer Science 2025-09-09 Emil Demić , Luka Čehovin Zajc

Text-driven image editing has achieved remarkable success in following single instructions. However, real-world scenarios often involve complex, multi-step instructions, particularly ``chain'' instructions where operations are…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Chenglin Wang , Yucheng Zhou , Qianning Wang , Zhe Wang , Kai Zhang

Background: Because of the difficulties involved in learning and using 3D modeling and rendering software, many scientists hire programmers or animators to create models and animations. This both slows the discovery process and provides…

Graphics · Computer Science 2014-07-14 Shawn M. Waldon , Peter M. Thompson , Patrick J. Hahn , Russell M. Taylor

As 3D models become critical in today's manufacturing and product design, conventional 3D modeling approaches based on Computer-Aided Design (CAD) are labor-intensive, time-consuming, and have high demands on the creators. This work aims to…

Multimedia · Computer Science 2023-10-31 Ying Zang , Chenglong Fu , Tianrun Chen , Yuanqi Hu , Qingshan Liu , Wenjun Hu

Animating hand-drawn sketches using traditional tools is challenging and complex. Sketches provide a visual basis for explanations, and animating these sketches offers an experience of real-time scenarios. We propose an approach for…

Computer Vision and Pattern Recognition · Computer Science 2026-02-27 Gaurav Rai , Ojaswa Sharma

Prompt engineering is still the primary way for users of generative text-to-image models to manipulate generated images in a targeted way. Based on treating the model as a continuous function and by passing gradients between the image space…

Computer Vision and Pattern Recognition · Computer Science 2024-06-25 Niklas Deckers , Julia Peters , Martin Potthast

Design mockups are essential instruments for visualizing and testing design ideas. However, the process of generating mockups can be time-consuming and challenging for designers. In this article, we present and evaluate two different…

Human-Computer Interaction · Computer Science 2023-03-23 Tommaso Calò , Luigi De Russis

Learning user sequence behaviour embedding is very sophisticated and challenging due to the complicated feature interactions over time and high dimensions of user features. Recent emerging foundation models, e.g., BERT and its variants,…

Machine Learning · Computer Science 2022-07-12 Caigao Jiang , Siqiao Xue , James Zhang , Lingyue Liu , Zhibo Zhu , Hongyan Hao

In this paper, we propose dualFace, a portrait drawing interface to assist users with different levels of drawing skills to complete recognizable and authentic face sketches. dualFace consists of two-stage drawing assistance to provide…

Schemata are structured representations of complex tasks that can aid artificial intelligence by allowing models to break down complex tasks into intermediate steps. We propose a novel system that induces schemata from web videos and…

Computer Vision and Pattern Recognition · Computer Science 2021-11-18 Yue Yang , Joongwon Kim , Artemis Panagopoulou , Mark Yatskar , Chris Callison-Burch

Generative AI models offer many possibilities for text creation and transformation. Current graphical user interfaces (GUIs) for prompting them lack support for iterative exploration, as they do not represent prompts as actionable interface…

Human-Computer Interaction · Computer Science 2025-03-28 Rifat Mehreen Amin , Oliver Hans Kühle , Daniel Buschek , Andreas Butz

In this paper we investigate image generation guided by hand sketch. When the input sketch is badly drawn, the output of common image-to-image translation follows the input edges due to the hard condition imposed by the translation process.…

Computer Vision and Pattern Recognition · Computer Science 2018-07-27 Yongyi Lu , Shangzhe Wu , Yu-Wing Tai , Chi-Keung Tang

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

In this work we introduce a cross modal image retrieval system that allows both text and sketch as input modalities for the query. A cross-modal deep network architecture is formulated to jointly model the sketch and text input modalities…

Computer Vision and Pattern Recognition · Computer Science 2018-05-01 Sounak Dey , Anjan Dutta , Suman K. Ghosh , Ernest Valveny , Josep Lladós , Umapada Pal

As a result of an increasingly automatized and digitized industry, processes are becoming more complex. Augmented Reality has shown considerable potential in assisting workers with complex tasks by enhancing user understanding and…

Human-Computer Interaction · Computer Science 2020-09-01 Linh Kästner , Leon Eversberg , Marina Mursa , Jens Lambrecht

Illustration is a fundamental mode of human expression and communication. Certain types of motion that accompany speech can provide this illustrative mode of communication. While Augmented and Virtual Reality technologies (AR/VR) have…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Hui Xian Grace Lim , Xuanming Cui , Yogesh S Rawat , Ser-Nam Lim