Discovering Triangles in Portraits for Supporting Photographic Creation

He, Siqiong; Zhou, Zihan; Farhat, Farshid; Wang, James

doi:10.1109/tmm.2017.2740026

Cited by 15 publications

(7 citation statements)

References 28 publications

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“…When this refined sketch is fed into [10], the result is improved significantly. Our method also show its potentialities for sketch-based object search [63], [64] and image retrieval [65], [66], [67]. Various works have been proposed to efficiently support automatic annotation of multimedia contents and help contentbased retrieval, and obtaining precise image sample sufficing the user specification may not be always handy in every instance.…”

Section: A Extended Applicationmentioning

confidence: 92%

Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches

Xia¹,

Yang²,

Xue³

2019

Preprint

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Image generation task has received increasing attention because of its wide application in security and entertainment. Sketch-based face generation brings more fun and better quality of image generation due to supervised interaction. However, When a sketch poorly aligned with the true face is given as input, existing supervised image-to-image translation methods often cannot generate acceptable photo-realistic face images. To address this problem, in this paper we propose Cali-Sketch, a poorly-drawn-sketch to photo-realistic-image generation method. Cali-Sketch explicitly models stroke calibration and image generation using two constituent networks: a Stroke Calibration Network (SCN), which calibrates strokes of facial features and enriches facial details while preserving the original intent features; and an Image Synthesis Network (ISN), which translates the calibrated and enriched sketches to photo-realistic face images. In this way, we manage to decouple a difficult cross-domain translation problem into two easier steps. Extensive experiments verify that the face photos generated by Cali-Sketch are both photo-realistic and faithful to the input sketches, compared with state-of-the-art methods.

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Section: A Extended Applicationmentioning

confidence: 92%

Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches

Xia¹,

Yang²,

Xue³

2019

Preprint

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show abstract

“…When this refined sketch is fed into [28], the result is improved significantly. Our method also show its potential for sketch-based object search [5,22] and image retrieval [18,25,13]. Various works have been proposed to e ciently support automatic annotation of multimedia contents and help contentbased retrieval, but obtaining precise image samples su c-ing the user specification may not be always handy.…”

Section: Extended Applicationmentioning

confidence: 98%

Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches

2021

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“…In fact, the smartphone interface using the camera array information shows some real-time guideline to the user for taking a photo from another position. More recently general aesthetic techniques including perspective-related techniques (Zhou et al, 2016) and triangle technique (He et al, 2018) are exploited to retrieve proper images as an on-site guidance to amateur photographers, but they are limited to basic ideas in photography while many aspects such as human pose or scene content are ignored, and these methods just try to retrieve similar photos to query photo having perspective or triangles, but the retrieved results may not be necessarily useful to amateur photographer.…”

Section: On-site Feedback On Photographic Systemmentioning

confidence: 99%

“…horizontal, vertical, diagonal, textured, and centered). More recently, perspective-related techniques (Zhou et al, 2017b), the triangle technique (He et al, 2018) and some portrait composition techniques have also been exploited.…”

Section: Introductionmentioning

confidence: 99%

CAPTAIN: Comprehensive Composition Assistance for Photo Taking

Farhat

Kamani

Wang

2022

ACM Trans. Multimedia Comput. Commun. Appl.

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Many people are interested in taking astonishing photos and sharing them with others. Emerging high-tech hardware and software facilitate the ubiquitousness and functionality of digital photography. Because composition matters in photography, researchers have leveraged some common composition techniques, such as the rule of thirds and the perspective-related techniques, in providing photo-taking assistance. However, composition techniques developed by professionals are far more diverse than well-documented techniques can cover. We present a new approach to leverage the underexplored photography ideas, which are virtually unlimited, diverse, and correlated. We propose a comprehensive fork-join framework, named CAPTAIN ( C omposition A ssistance for P hoto Ta k in g), to guide a photographer with a variety of photography ideas. The framework consists of a few components: integrated object detection, photo genre classification, artistic pose clustering, and personalized aesthetics-aware image retrieval. CAPTAIN is backed by a large managed dataset crawled from a Website with ideas from photography enthusiasts and professionals. The work proposes steps to decompose a given amateurish shot into composition ingredients and compose them to bring the photographer a list of useful and related ideas. The work addresses personal preferences for composition by presenting a user-specified preference list of photography ideas. We have conducted many experiments on the newly proposed components and reported findings. A user study demonstrates that the work is useful to those taking photos.

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Discovering Triangles in Portraits for Supporting Photographic Creation

Cited by 15 publications

References 28 publications

Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches

Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches

Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches

CAPTAIN: Comprehensive Composition Assistance for Photo Taking

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