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In this work, we develop intuitive controls for editing the style of 3D objects.
Image analogies
Aaron Hertzmann, Charles E. Jacobs, Nuria Oliver, Brian Curless, and David H. Salesin · 2001
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Recent advances in mesh morphing
Marc Alexa · 2002
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Bounded-distortion piecewise mesh parameterization
Olga Sorkine, Daniel Cohen-Or, Rony Goldenthal, and Dani Lischinski · 2002
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3d collage: expressive non-realistic modeling
Ran Gal, Olga Sorkine, Tiberiu Popa, Alla Sheffer, and Daniel Cohen-Or · 2007
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Feature-aligned shape texturing
Kai Xu, Daniel Cohen-Or, Tao Ju, Ligang Liu, Hao Zhang, Shizhe Zhou, and Yueshan Xiong · 2009
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Style-content separation by anisotropic part scales
Kai Xu, Honghua Li, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong, and Zhi-Quan Cheng · 2010
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Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering
Oana Sidi, Oliver van Kaick, Yanir Kleiman, Hao Zhang, and Daniel Cohen-Or · 2011
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Curve style analysis in a set of shapes
Honghua Li, Hao Zhang, Yanzhen Wang, Junjie Cao, Ariel Shamir, and Daniel Cohen-Or · 2013
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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Stripe patterns on surfaces
Felix Knöppel, Keenan Crane, Ulrich Pinkall, and Peter Schröder · 2015
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Elements of style: learning perceptual shape style similarity
Zhaoliang Lun, Evangelos Kalogerakis, and Alla Sheffer · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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Semantic shape editing using deformation handles
Mehmet Ersin Yumer, Siddhartha Chaudhuri, Jessica K Hodgins, and Levent Burak Kara · 2015
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Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
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Functionality preserving shape style transfer
Zhaoliang Lun, Evangelos Kalogerakis, Rui Wang, and Alla Sheffer · 2016
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Learning semantic deformation flows with 3d convolutional networks
M Ersin Yumer and Niloy J Mitra · 2016
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Thingi10k: A dataset of 10,000 3d-printing models
Qingnan Zhou and Alec Jacobson · 2016
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Co-locating style-defining elements on 3d shapes
Ruizhen Hu, Wenchao Li, Oliver Van Kaick, Hui Huang, Melinos Averkiou, Daniel Cohen-Or, and Hao Zhang · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. Belongie · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Real-Time Rendering, Fourth Edition
Tomas Akenine-Möller, Eric Haines, and Naty Hoffman · 2018
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Alignet: partial-shape agnostic alignment via unsupervised learning
Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, and Daniel Cohen-Or · 2018
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Neural 3d mesh renderer
Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada · 2018
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Optcuts: Joint optimization of surface cuts and parameterization
Minchen Li, Danny M. Kaufman, Vladimir G. Kim, Justin Solomon, and Alla Sheffer · 2018
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Paparazzi: surface editing by way of multi-view image processing
Hsueh-Ti Derek Liu, Michael Tao, and Alec Jacobson · 2018
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Variational surface cutting
Nicholas Sharp and Keenan Crane · 2018
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Deep image prior
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2018
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Semi-supervised co-analysis of 3d shape styles from projected lines
Fenggen Yu, Yan Zhang*, Kai Xu, Ali Mahdavi-Amiri, and Hao Zhang · 2018
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Deepsim: deep learning code functional similarity
Gang Zhao and Jeff Huang · 2018
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Learning to predict 3d objects with an interpolation-based differentiable renderer
Wenzheng Chen, Huan Ling, Jun Gao, Edward Smith, Jaakko Lehtinen, Alec Jacobson, and Sanja Fidler · 2019
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng · 2020
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Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
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Evaluating clip: towards characterization of broader capabilities and downstream implications
Sandhini Agarwal, Gretchen Krueger, Jack Clark, Alec Radford, Jong Wook Kim, and Miles Brundage · 2021
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Image-based clip-guided essence transfer
Hila Chefer, Sagie Benaim, Roni Paiss, and Lior Wolf · 2021
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Meshcnn: a network with an edge
Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, and Daniel Cohen-Or · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Style transfer by relaxed optimal transport and self-similarity
Nicholas Kolkin, Jason Salavon, and Gregory Shakhnarovich · 2019
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Hsueh-Ti Derek Liu and Alec Jacobson · 2019
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Texture fields: Learning texture representations in function space
Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, and Andreas Geiger · 2019
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On the spectral bias of neural networks, 2019
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, and Aaron Courville · 2019
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Katherine Crowson · 2021
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Clipdraw: Exploring text-to-drawing synthesis through language-image encoders
Kevin Frans, Lisa B. Soros, and Olaf Witkowski · 2021
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Stylegan-nada: Clip-guided domain adaptation of image generators
Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, and Daniel Cohen-Or · 2021
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Datasheets for datasets
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé Iii, and Kate Crawford · 2021
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Discrete conformal equivalence of polyhedral surfaces
Mark Gillespie, Boris Springborn, and Keenan Crane · 2021
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Exemplar-based 3d portrait stylization
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Self-sampling for neural point cloud consolidation
Gal Metzer, Rana Hanocka, Raja Giryes, and Daniel Cohen-Or · 2021
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Styleclip: Text-driven manipulation of stylegan imagery, 2021
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Clip: Connecting text and images, 2021
Alec Radford, Ilya Sutskever, Jong Wook Kim, Gretchen Krueger, and Sandhini Agarwal · 2021
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Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps, 2021
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger · 2021
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Clip-forge: Towards zero-shot text-to-shape generation
Aditya Sanghi, Hang Chu, Joseph G Lambourne, Ye Wang, Chin-Yi Cheng, and Marco Fumero · 2021
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Intrinsic Triangulations in Geometry Processing
Nicholas Sharp · 2021
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Turbosquid 3d model repository, 2021
TurboSquid · 2021
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Geometry processing with neural fields
Guandao Yang, Serge Belongie, Bharath Hariharan, and Vladlen Koltun · 2021
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3dstylenet: Creating 3d shapes with geometric and texture style variations
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pixelnerf: Neural radiance fields from one or few images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2021
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