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SKETCH

ACM SIGGRAPH 2007 courses, 1996
Sketching communicates ideas rapidly through approximate visual images with low overhead (pencil and paper), no need for precision or specialized knowledge, and ease of low-level correction and revision. In contrast, most 3D computer modeling systems are good at generating arbitrary views of precise 3D models and support high-level editing and revision.
Robert C. Zeleznik   +2 more
openaire   +1 more source

Sketch-sketch revolution

Proceedings of the 24th annual ACM symposium on User interface software and technology, 2011
We describe Sketch-Sketch Revolution, a new tutorial system that allows any user to experience the success of drawing content previously created by an expert artist. Sketch-Sketch Revolution not only guides users through the application user interface, it also provides assistance with the actual sketching.
Jennifer Fernquist   +2 more
openaire   +1 more source

Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation

Proceedings of the VLDB Endowment, 2022
Recording the frequency of items in highly skewed data streams is a fundamental and hot problem in recent years. The literature demonstrates that sketch is the most promising solution.
Haoyu Li   +4 more
semanticscholar   +1 more source

A Sketch on Sketch-Based Interfaces and Modeling

2010 23RD SIBGRAPI - Conference on Graphics, Patterns and Images Tutorials, 2010
Geometric Modeling is a widely studied area in computer graphics and methods for constructing 3D models with intuitive interfaces are a topic that has been attracting the interest of many researches. In contrast to the complicated interfaces of modeling softwares, created using the WIMP paradigm (Window, Icon, Menu, Pointer), several studies have shown
Leandro Cruz, Luiz Velho 0001
openaire   +1 more source

Graph sketches

IEEE Symposium on Information Visualization, 2001. INFOVIS 2001., 2005
We introduce the notion of Graph Sketches. They can be thought of as visual indices that guide the navigation of a multi-graph too large to fit on the available display. We adhere to the Visual Information-Seeking Mantra: Overview first, zoom and filter, then details on demand.
J. Abello, Irene Finocchi, J. Korn
openaire   +1 more source

Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Conference on Empirical Methods in Natural Language Processing
Recent advances in large language models (LLMs) have enabled strong reasoning capabilities through Chain-of-Thought (CoT) prompting, which elicits step-by-step problem solving, but often at the cost of excessive verbosity in intermediate outputs, leading
Simon A. Aytes   +2 more
semanticscholar   +1 more source

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches

Conference on Robot Learning
Natural language and images are commonly used as goal representations in goal-conditioned imitation learning (IL). However, natural language can be ambiguous and images can be over-specified. In this work, we propose hand-drawn sketches as a modality for
Priya Sundaresan   +12 more
semanticscholar   +1 more source

Design sketches and sketch design tools

Knowledge-Based Systems, 2005
In early stages of design architects often use sketching and diagramming to perform formal and functional reasoning. Design sketches are an external representation aid for visualization and evaluation of the spatial arrangements of artifacts. Symbols and configurations are used in design sketches to define context and object arrangements.
openaire   +1 more source

Motion sketch

ACM SIGGRAPH ASIA 2010 Posters, 2010
Traditionally motion is visualized using an image sequence or a video, which is often tedious and time consuming to browse. Composing the frames of a video into a single image can be quite useful in many applications like surveillance and special effects.
Nitin Singhal, Byungjun Son, Sungdae Cho
openaire   +1 more source

Sketch Your Own GAN

IEEE International Conference on Computer Vision, 2021
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.
Sheng-Yu Wang, David Bau, Jun-Yan Zhu
semanticscholar   +1 more source

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