[ SIGGRAPH 2011+Technical Papers ] Interactive Image Editing

铁锹 3D打印店铺

Interactive Image Editing

Thursday, 11 August 2:00 pm - 3:30 pm | East Building, Ballroom C

Session Chair: Ariel Shamir, Interdisciplinary Center (IDC) Herzliya






Interactive Editing of Massive Imagery Made Simple: Turning Atlanta Into Atlantis
This simple framework for progressive processing of high-resolution images with minimal resources implements an adaptive, multi-resolution solver for gradient-based image processing that is capable of real-time seamless cloning for images that are hundreds of gigapixels in size.
Brian Summa

University of Utah
Giorgio Scorzelli

University of Utah
Ming Jiang

Lawrence Livermore National Laboratory
Peer-Timo Bremer

University of Utah and Lawrence Livermore National Laboratory
Valerio Pascucci

University of Utah




Geodesic Image and Video Editing
A new, unified technique to perform general edge-sensitive editing operations on n-dimensional images and videos efficiently. Introduction of a generalized geodesic distance transform provides the unifying framework to efficiently address several editing operations such as de-noising, segmentation, and non-photorealistic rendering.
Antonio Criminisi

Microsoft Research Cambridge
Toby Sharp

Microsoft Research Cambridge
Carsten Rother

Microsoft Research Cambridge
Patrick Perez

Technicolor Paris Research Center
Andrew Fitzgibbon

Microsoft Research Cambridge




Matting and Compositing of Transparent and Refractive Objects
This image-based model for matting and compositing transparent and refractive objects from single images encodes plausible refractive properties of a transparent object and its observed specularities and transmissive properties. The method simulates compound compositing, Fresnel effect, scene depth, and caustic shadows from the extracted model.
Sai-Kit Yeung

University of California, Los Angeles and Hong Kong University of Science and Technology
Chi-Keung Tang

Hong Kong University of Science and Technology
Michael Brown

National University of Singapore
Sing Bing Kang

Microsoft Research




Nonlinear Revision Control for Images
A nonlinear revision-control system for images that supports review, diff, addition, branching, merging, and conflict resolving, and facilitates artistic creation in common image editing and digital sketching tasks. The core idea is a DAG structure that represents the spatial, temporal, and semantic relationships between operations.
Hsiang-Ting Chen

National Tsing Hua University
Li-Yi Wei

Microsoft Research
Chun-Fa Chang

National Taiwan Normal University

晃晃

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菜刀吻电线

不错不错，收藏了

C.R.CAN

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Eleven

再看一看，再顶楼主

tc

读铁系缘分，顶铁系友情

C.R.CAN

不错哦,谢谢楼主

C.R.CAN

好可爱的字,学习了