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Related papers: Towards Practicality of Sketch-Based Visual Unders…

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Multiple sketch datasets have been proposed to understand how people draw 3D objects. However, such datasets are often of small scale and cover a small set of objects or categories. In addition, these datasets contain freehand sketches…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Chufeng Xiao , Wanchao Su , Jing Liao , Zhouhui Lian , Yi-Zhe Song , Hongbo Fu

Creative sketch is a universal way of visual expression, but translating images from an abstract sketch is very challenging. Traditionally, creating a deep learning model for sketch-to-image synthesis needs to overcome the distorted input…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Qiang Wang , Di Kong , Fengyin Lin , Yonggang Qi

Iteratively refining and critiquing sketches are crucial steps to developing effective designs. We introduce Scones, a mixed-initiative, machine-learning-driven system that enables users to iteratively author sketches from text…

Human-Computer Interaction · Computer Science 2020-05-19 Forrest Huang , Eldon Schoop , David Ha , John Canny

Sketches, with their expressive potential, allow humans to convey the essence of an object through even a rough contour. For the first time, we harness this expressive potential to improve segmentation performance in challenging tasks like…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Ying Zang , Runlong Cao , Jianqi Zhang , Yidong Han , Ziyue Cao , Wenjun Hu , Didi Zhu , Lanyun Zhu , Zejian Li , Deyi Ji , Tianrun Chen

We present RealitySketch, an augmented reality interface for sketching interactive graphics and visualizations. In recent years, an increasing number of AR sketching tools enable users to draw and embed sketches in the real world. However,…

Human-Computer Interaction · Computer Science 2020-08-21 Ryo Suzuki , Rubaiat Habib Kazi , Li-Yi Wei , Stephen DiVerdi , Wilmot Li , Daniel Leithinger

This paper, for the first time, marries large foundation models with human sketch understanding. We demonstrate what this brings -- a paradigm shift in terms of generalised sketch representation learning (e.g., classification). This…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Hmrishav Bandyopadhyay , Pinaki Nath Chowdhury , Aneeshan Sain , Subhadeep Koley , Tao Xiang , Ayan Kumar Bhunia , Yi-Zhe Song

The ability to semantically interpret hand-drawn line sketches, although very challenging, can pave way for novel applications in multimedia. We propose SketchParse, the first deep-network architecture for fully automatic parsing of…

Computer Vision and Pattern Recognition · Computer Science 2017-09-06 Ravi Kiran Sarvadevabhatla , Isht Dwivedi , Abhijat Biswas , Sahil Manocha , R. Venkatesh Babu

Two primary input modalities prevail in image retrieval: sketch and text. While text is widely used for inter-category retrieval tasks, sketches have been established as the sole preferred modality for fine-grained image retrieval due to…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Subhadeep Koley , Ayan Kumar Bhunia , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song

Humans draw to facilitate reasoning: we draw auxiliary lines when solving geometry problems; we mark and circle when reasoning on maps; we use sketches to amplify our ideas and relieve our limited-capacity working memory. However, such…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Yushi Hu , Weijia Shi , Xingyu Fu , Dan Roth , Mari Ostendorf , Luke Zettlemoyer , Noah A Smith , Ranjay Krishna

Understanding a scene by decoding the visual relationships depicted in an image has been a long studied problem. While the recent advances in deep learning and the usage of deep neural networks have achieved near human accuracy on many…

Computer Vision and Pattern Recognition · Computer Science 2020-05-19 Aniket Agarwal , Ayush Mangal , Vipul

From photorealistic sketches to schematic diagrams, drawing provides a versatile medium for communicating about the visual world. How do images spanning such a broad range of appearances reliably convey meaning? Do viewers understand…

Computer Vision and Pattern Recognition · Computer Science 2021-09-29 Robert D. Hawkins , Megumi Sano , Noah D. Goodman , Judith E. Fan

Establishing visual correspondence across images is a challenging and essential task. Recently, an influx of self-supervised methods have been proposed to better learn representations for visual correspondence. However, we find that these…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Yingdong Hu , Renhao Wang , Kaifeng Zhang , Yang Gao

Proliferation of touch-based devices has made sketch-based image retrieval practical. While many methods exist for sketch-based object detection/image retrieval on small datasets, relatively less work has been done on large (web)-scale…

Computer Vision and Pattern Recognition · Computer Science 2015-11-03 Sarthak Parui , Anurag Mittal

Free-hand sketches are appealing for humans as a universal tool to depict the visual world. Humans can recognize varied sketches of a category easily by identifying the concurrence and layout of the intrinsic semantic components of the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Guangming Zhu , Siyuan Wang , Tianci Wu , Liang Zhang

Designing 3D objects from scratch is difficult, especially when the user intent is fuzzy without a clear target form. In the spirit of modeling-by-example, we facilitate design by providing reference and inspiration from existing model…

Graphics · Computer Science 2019-04-17 Xiaohua Xie , Kai Xu , Niloy J. Mitra , Daniel Cohen-Or , Baoquan Chen

Understanding geometric concepts, such as distance and shape, is essential for understanding the real world and also for many vision tasks. To incorporate such information into a visual representation of a scene, we propose learning to…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Hyundo Lee , Inwoo Hwang , Hyunsung Go , Won-Seok Choi , Kibeom Kim , Byoung-Tak Zhang

Sketch is an important media for human to communicate ideas, which reflects the superiority of human intelligence. Studies on sketch can be roughly summarized into recognition and generation. Existing models on image recognition failed to…

Computer Vision and Pattern Recognition · Computer Science 2017-09-14 Yajing Chen , Shikui Tu , Yuqi Yi , Lei Xu

Deep image-based modeling received lots of attention in recent years, yet the parallel problem of sketch-based modeling has only been briefly studied, often as a potential application. In this work, for the first time, we identify the main…

Computer Vision and Pattern Recognition · Computer Science 2021-04-27 Yue Zhong , Yulia Gryaditskaya , Honggang Zhang , Yi-Zhe Song

The emerging trend of AR/VR places great demands on 3D content. However, most existing software requires expertise and is difficult for novice users to use. In this paper, we aim to create sketch-based modeling tools for user-friendly 3D…

Human-Computer Interaction · Computer Science 2023-10-30 Tianrun Chen , Chaotao Ding , Lanyun Zhu , Ying Zang , Yiyi Liao , Zejian Li , Lingyun Sun

Sketch-based modeling strives to bring the ease and immediacy of drawing to the 3D world. However, while drawings are easy for humans to create, they are very challenging for computers to interpret due to their sparsity and ambiguity. We…

Graphics · Computer Science 2018-06-20 Johanna Delanoy , Mathieu Aubry , Phillip Isola , Alexei A. Efros , Adrien Bousseau