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A. ROYER, A. KOLESNIKOV, C. LAMPERT: PROBABILISTIC IMAGE COLORIZATION 1 Probabilistic Image Colorization Amélie Royer* [email protected] Alexander Kolesnikov* [email protected]
Harrison Ho ([email protected]) and Varun Ramesh ([email protected]) Abstract— Image colorization is a difficult problem that often requires user input to be successful.
Outline Colorization through Tandem Adversarial Networks. Kevin Frans Henry M. Gunn High School [email protected] Abstract. When creating digital art, coloring and shading…
Deep Image Colorization with Classification Arlene Siswanto [email protected] Pramoda Karnati [email protected] Abstract— Image colorization is a well studied topic in computer…
Deep Colorization Zezhou Cheng Shanghai Jiao Tong University [email protected] Qingxiong Yang City University of Hong Kong [email protected] Bin Sheng∗ Shanghai…
Retouch and colorization of pictures
Eurographics Symposium on Rendering (2005) Kavita Bala, Philip Dutré (Editors) Colorization by Example 1 Tel-Aviv University 2 The Hebrew University of Jerusalem Abstract
Deep Exemplar-based ColorizationDeep Exemplar-based Colorization∗ Mingming He∗1, Dongdong Chen∗2 †, Jing Liao3, Pedro V. Sander1, and Lu Yuan3
Eurographics Symposium on Rendering 2005 Kavita Bala Philip Dutré Editors Colorization by Example R Irony1 D Cohen-Or1 and D Lischinski2 1 Tel-Aviv University 2 The Hebrew…
Using different mediums and styles to create shading.
Inflammation Acute inflammation Chronic inflammation Repair Resolution Abscess Injury Definition • reaction of vascularized living tissue to local injury Definition…
Deep Exemplar-based Video Colorization Bo Zhang1 ∗ Mingming He15 Jing Liao2 Pedro V Sander1 Lu Yuan34 Amine Bermak16 Dong Chen3 1Hong Kong University of Science and Technology…
Deep Exemplar-based Video Colorization Bo Zhang1 ∗, Mingming He1,5, Jing Liao2, Pedro V. Sander1, Lu Yuan3,4, Amine Bermak1,6, Dong Chen3 1Hong Kong University of
EUROGRAPHICS 2006 / D. W. Fellner and C. Hansen Short Papers Automatic Depth-Map Colorization The Weizmann Institute of Science Rehovot, 76100 Israel {tal.hassner, ronen.basri}@weizmann.ac.il
Stephen Koo Stanford University Abstract We attempt to use DCGANs (deep convolutional genera- tive adversarial nets) to tackle the automatic colorization of black and white
Guillaume Charpiat1,3, Matthias Hofmann2,3, and Bernhard Scholkopf3 1 Pulsar Team, INRIA, Sophia-Antipolis, France [email protected] 2 Wolfson Medical Vision Lab,
Automatic Cartoon Colorization Based on Convolutional Neural NetworkDomonkos Varga MTA SZTAKI, Institute for Computer Science and Control Kende u. 13-17. Budapest, Hungary
Kamyar Nazeri, Eric Ng, and Mehran Ebrahimi Faculty of Science, University of Ontario Institute of Technology 2000 Simcoe Street North, Oshawa, Ontario, Canada L1H 7K4 {kamyar.nazeri,eric.ng,mehran.ebrahimi}@uoit.ca
SIP 2019 vol 8 e7 page 1 of 15 © The Authors 2019 This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives…
Generative Networks James Hays Computer Vision Interesting Illusion: Ames Window • https:wwwyoutubecomwatchv=aHjQe8EuKHc • https:enwikipediaorgwikiAmes_trapezoid https:wwwyoutubecomwatchv=aHjQe8EuKHc…