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Related papers: AirSketch: Generative Motion to Sketch

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Graphic layout generation is a growing research area focusing on generating aesthetically pleasing layouts ranging from poster designs to documents. While recent research has explored ways to incorporate user constraints to guide the layout…

Facial sketches are both a concise way of showing the identity of a person and a means to express artistic intention. While a few techniques have recently emerged that allow sketches to be extracted in different styles, they typically rely…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Kwan Yun , Kwanggyoon Seo , Chang Wook Seo , Soyeon Yoon , Seongcheol Kim , Soohyun Ji , Amirsaman Ashtari , Junyong Noh

Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiring professional sketches or even edge maps as input. To…

Graphics · Computer Science 2020-06-09 Shu-Yu Chen , Wanchao Su , Lin Gao , Shihong Xia , Hongbo Fu

We present MS2Mesh-XR, a novel multi-modal sketch-to-mesh generation pipeline that enables users to create realistic 3D objects in extended reality (XR) environments using hand-drawn sketches assisted by voice inputs. In specific, users can…

Computer Vision and Pattern Recognition · Computer Science 2024-12-13 Yuqi Tong , Yue Qiu , Ruiyang Li , Shi Qiu , Pheng-Ann Heng

Sound synthesiser controls typically correspond to technical parameters of signal processing algorithms rather than intuitive sound descriptors that relate to human perception of sound. This makes it difficult to realise sound ideas in a…

Multimedia · Computer Science 2021-07-16 Sebastian Löbbers , Mathieu Barthet , György Fazekas

Recent advances in motion diffusion models have led to remarkable progress in diverse motion generation tasks, including text-to-motion synthesis. However, existing approaches represent motions as dense frame sequences, requiring the model…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Jinseok Bae , Inwoo Hwang , Young Yoon Lee , Ziyu Guo , Joseph Liu , Yizhak Ben-Shabat , Young Min Kim , Mubbasir Kapadia

The use of Unmanned Aerial Vehicles (UAVs) for aerial tasks and environmental manipulation is increasingly desired. This can be demonstrated via art tasks. This paper presents the development of Magnasketch, capable of translating image…

Robotics · Computer Science 2024-12-17 Ashley Kline , Abirami Elangovan , Dominique Escandon , Scott Wade , Aatish Gupta

Denoising diffusion models have shown great promise in human motion synthesis conditioned on natural language descriptions. However, integrating spatial constraints, such as pre-defined motion trajectories and obstacles, remains a challenge…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Korrawe Karunratanakul , Konpat Preechakul , Supasorn Suwajanakorn , Siyu Tang

Sketch-based shape modeling aims to bridge the gap between 2D drawing and 3D modeling by providing an intuitive and accessible approach to create 3D shapes from 2D sketches. However, existing methods still suffer from limitations in…

Graphics · Computer Science 2023-09-13 Jie Zhou , Zhongjin Luo , Qian Yu , Xiaoguang Han , Hongbo Fu

We present a method for automatically producing human-like vocal imitations of sounds: the equivalent of "sketching," but for auditory rather than visual representation. Starting with a simulated model of the human vocal tract, we first try…

Graphics · Computer Science 2024-09-23 Matthew Caren , Kartik Chandra , Joshua B. Tenenbaum , Jonathan Ragan-Kelley , Karima Ma

Text-to-image diffusion models are gradually introduced into computer graphics, recently enabling the development of Text-to-3D pipelines in an open domain. However, for interactive editing purposes, local manipulations of content through a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Aryan Mikaeili , Or Perel , Mehdi Safaee , Daniel Cohen-Or , Ali Mahdavi-Amiri

Text-conditioned diffusion models can generate impressive images, but fall short when it comes to fine-grained control. Unlike direct-editing tools like Photoshop, text conditioned models require the artist to perform "prompt engineering,"…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Michelle Shu , Charles Herrmann , Richard Strong Bowen , Forrester Cole , Ramin Zabih

In the early stages of designing graphical user interfaces (GUIs), the look (appearance) can be easily presented by sketching, but the feel (interactive behaviors) cannot, and often requires an accompanying description of how it works…

Human-Computer Interaction · Computer Science 2016-09-07 Sang Won Lee , Yi Wei Yang , Shiyan Yan , Yujin Zhang , Isabelle Wong , Zhengxi Tan , Miles McGruder , Christopher Homan , Walter Lasecki

Text-guided diffusion models have achieved remarkable success in object inpainting by providing high-level semantic guidance through text prompts. However, they often lack precise pixel-level spatial control, especially in scenarios…

Computer Vision and Pattern Recognition · Computer Science 2025-08-01 Yongle Zhang , Yimin Liu , Yan Huang , Qiang Wu

Air-writing refers to virtually writing linguistic characters through hand gestures in three-dimensional space with six degrees of freedom. This paper proposes a generic video camera-aided convolutional neural network (CNN) based…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Prasun Roy , Subhankar Ghosh , Umapada Pal

In the context of a classroom lesson, concepts must be visualized and organized in many ways depending on the needs of the teacher and students. Traditional presentation media such as the blackboard or electronic whiteboard allow for static…

Human-Computer Interaction · Computer Science 2018-09-20 Ken Perlin , Zhenyi He , Karl Rosenberg

Generating realistic 3D scenes is challenging due to the complexity of room layouts and object geometries.We propose a sketch based knowledge enhanced diffusion architecture (SEK) for generating customized, diverse, and plausible 3D scenes.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-11 Zijie Wu , Mingtao Feng , Yaonan Wang , He Xie , Weisheng Dong , Bo Miao , Ajmal Mian

The study of neural generative models of human sketches is a fascinating contemporary modeling problem due to the links between sketch image generation and the human drawing process. The landmark SketchRNN provided breakthrough by…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 Ayan Das , Yongxin Yang , Timothy Hospedales , Tao Xiang , Yi-Zhe Song

Designing stylized cinemagraphs is challenging due to the difficulty in customizing complex and expressive flow elements. To achieve intuitive and detailed control of the generated cinemagraphs, sketches provide a feasible solution to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Hao Jin , Hengyuan Chang , Xiaoxuan Xie , Zhengyang Wang , Xusheng Du , Shaojun Hu , Haoran Xie

Early-stage design ideation often relies on rough sketches created under time pressure, leaving much of the designer's intent implicit. In practice, designers frequently speak while sketching, verbally articulating functional goals and…

Human-Computer Interaction · Computer Science 2026-04-15 Weiyan Shi , Dorien Herremans , Kenny Tsu Wei Choo
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