International Workshop on Advanced Imaging Technology (IWAIT) 2021 2021
DOI: 10.1117/12.2590760 View full text |Buy / Rent full text
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Abstract: Normal map is an important and efficient way to represent complex 3D models. A designer may benefit from the auto-generation of high quality and accurate normal maps from freehand sketches in 3D content creation. This paper proposes a deep generative model for generating normal maps from users' sketch with geometric sampling. Our generative model is based on Conditional Generative Adversarial Network with the curvature-sensitive points sampling of conditional masks. This sampling process can help eliminate the… Show more

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“…Sketch-based user interface is an important research topic in computer graphics to improve automatic processes with human power, such as shape retrieval, 5 motion retrieval, 6 image generation 7,8 and task guidance. 9 For image-based shape editing, 3-sweep introduced an interactive technique based on extracting simple 3D shapes from a single image.…”
Section: Related Workmentioning
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“…Sketch-based user interface is an important research topic in computer graphics to improve automatic processes with human power, such as shape retrieval, 5 motion retrieval, 6 image generation 7,8 and task guidance. 9 For image-based shape editing, 3-sweep introduced an interactive technique based on extracting simple 3D shapes from a single image.…”
Section: Related Workmentioning
“…For predicting the required normal map of specific object models, Su et al 24 presented an interactive system for generating normal maps with the generative adversarial network (GAN) framework, and produces high-quality normal maps with sketch inputs. Later, they improved the sampling method in the previous work 25 to sample and train the surface curvature to help eliminate the ambiguity of generation results as network input. Hudon et al 26 proposed a new fully automatic pipeline for generating shading effects on hand-drawn characters without requiring any human input is presented, using a deep residual, encoder-decoder convolutional network for normal estimation.…”
Section: Normal Predictionmentioning
“…Sketches are a high-level abstract visual representation without great visual detail. By analyzing the intent behind a user's freehand sketch, sketchbased interaction allows users intuitive access to various applications such as image retrieval [2,7,8], image editing [9][10][11][12], simulation control [13], block arrangement [14], and 3D modeling [15][16][17]. Among sketch-based systems, freehand portrait sketching is difficult for ordinary users due to the required drawing skills and capabilities, which are inaccessible to novices (e.g., with poor drawing skills).…”
Section: Sketch-based Applicationsmentioning