Autocomplete Element Fields

Hsu, Chen-Yuan; Wei, Li-Yi; You, Lihua; Zhang, Jian Jun

doi:10.1145/3313831.3376248

Cited by 13 publications

(25 citation statements)

References 74 publications

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“…We describe simple methods to represent given shapes with sample spheres. We have evaluated our methods for 2D vector graphics applications including element synthesis [Hsu et al 2020] and shape warping [Phogat et al 2019], and plan to explore applications in 3D modeling. We also plan to perform more comprehensive analysis and comparisons against other methods.…”

Section: Discussionmentioning

confidence: 99%

“…handles for deformation [Jacobson et al 2011;Phogat et al 2019], or element distribution for design [Hsu et al 2020]. Depending on the design choice, the same element (purple) can be represented in different ways, such as 1 sample for a rigid component (left), 2 samples for a mildly deformable shape (middle), and 8 samples to allow further deformation among the two branches (right).…”

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confidence: 99%

“…Due to the importance of this problem, a variety of solutions have been proposed to approximate shapes with sample spheres [Stolpner et al 2012;Thiery et al 2013;Wang et al 2006]. The method in [Hsu et al 2020] lets users manually place and connect these spheres to reflect their design intention as illustrated in Figure 1 and Figure 2 that might not be divinable by automatic computation.…”

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confidence: 99%

“…[ Stolpner et al 2012;Thiery et al 2013;Wang et al 2006]. The method in [Hsu et al 2020] lets users manually place and connect these spheres to reflect their design intention as illustrated in Figure 1 and Figure 2 that might not be divinable by automatic computation. However, it might not be reasonable to require all users to go through this process as it is more natural for them to directly design the element shapes without thinking about the underlying implementation.…”

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confidence: 99%

“…The sampling can be sparse (a), dense (b), overlapping (c) or hybrid (d). These samples are manually placed and connected in[Hsu et al 2020].…”

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confidence: 99%

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Simple Methods to Represent Shapes with Sample Spheres

Wei

Anand

Kumar

et al. 2020

SIGGRAPH Asia 2020 Technical Communications

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Representing complex shapes with simple primitives in high accuracy is important for a variety of applications in computer graphics and geometry processing. Existing solutions may produce suboptimal samples or are complex to implement. We present methods to approximate given shapes with user-tunable number of spheres to balance between accuracy and simplicity: touching medial/scaleaxis polar balls and k-means smallest enclosing circles. Our methods are easy to implement, run efficiently, and can approach quality similar to manual construction. CCS CONCEPTS • Computing methodologies → Texturing; Shape modeling.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

“…The sampling can be sparse (a), dense (b), overlapping (c) or hybrid (d). These samples are manually placed and connected in[Hsu et al 2020].…”

mentioning

confidence: 99%

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Simple Methods to Represent Shapes with Sample Spheres

Wei

Anand

Kumar

et al. 2020

SIGGRAPH Asia 2020 Technical Communications

Self Cite

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Autocompletion of repetitive stroking with image guidance

Chen

Kwan

2023

Comp. Visual Media

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Image-guided drawing can compensate for a lack of skill but often requires a significant number of repetitive strokes to create textures. Existing automatic stroke synthesis methods are usually limited to predefined styles or require indirect manipulation that may break the spontaneous flow of drawing. We present an assisted drawing system to autocomplete repetitive short strokes during a user’s normal drawing process. Users draw over a reference image as usual; at the same time, our system silently analyzes the input strokes and the reference to infer strokes that follow the user’s input style when certain repetition is detected. Users can accept, modify, or ignore the system’s predictions and continue drawing, thus maintaining fluid control over drawing. Our key idea is to jointly analyze image regions and user input history to detect and predict repetition. The proposed system can effectively reduce the user’s workload when drawing repetitive short strokes, helping users to create results with rich patterns.

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A Survey of Control Mechanisms for Creative Pattern Generation

Asente

Mĕch

Beneš

et al. 2021

Computer Graphics Forum

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We review recent methods in 2D creative pattern generation and their control mechanisms, focusing on procedural methods. The review is motivated by an artist's perspective and investigates interactive pattern generation as a complex design problem. While the repetitive nature of patterns is well-suited to algorithmic creation and automation, an artist needs more flexible control mechanisms for adaptable and inventive designs. We organize the state of the art around pattern design features, such as repetition, frames, curves, directionality, and single visual accents. Within those areas, we summarize and discuss the techniques' control mechanisms for enabling artist intent. The discussion includes questions of how input is given by the artist, what type of content the artist inputs, where the input affects the canvas spatially, and when input can be given in the timeline of the creation process. We categorize the available control mechanisms on an algorithmic level and categorize their input modes based on exemplars, parameterization, handling, filling, guiding, and placing interactions. To better understand the potential of the current techniques for creative design and to make such an investigation more manageable, we motivate our discussion with how navigation, transparency, variation, and stimulation enable creativity. We conclude our review by identifying possible new directions that can inspire innovation for artist-centered creation processes and algorithms. CCS Concepts• Computing methodologies → Computer graphics; • Human-centered computing → Interaction design process and methods; Interaction design theory, concepts and paradigms; Systems and tools for interaction design;

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Autocomplete Element Fields

Cited by 13 publications

References 74 publications

Simple Methods to Represent Shapes with Sample Spheres

Simple Methods to Represent Shapes with Sample Spheres

Autocompletion of repetitive stroking with image guidance

A Survey of Control Mechanisms for Creative Pattern Generation

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