Fetching the paper…
Reading the bibliography…
Single image view synthesis allows for the generation of new views of a scene given a single input image.
Modeling and rendering architecture from photographs: A hybrid geometry- and image- based approach
P. E. Debevec, C. J. Taylor, and J. Malik · 1996
Earlier work this paper cites.
Efficient view-dependent image-based rendering with projective texture-mapping
Paul Debevec, Yizhou Yu, and George Borshukov · 1998
Earlier work this paper cites.
Image inpainting
Marcelo Bertalmio, Guillermo Sapiro, Vincent Caselles, and Coloma Ballester · 2000
Earlier work this paper cites.
Matthias Zwicker, Hanspeter Pfister, Jeroen Van Baar, and Markus Gross · 2001
Earlier work this paper cites.
Region filling and object removal by exemplar-based image inpainting
A. Criminisi, P. Pérez, and T. Kentaro · 2004
Earlier work this paper cites.
A survey of point-based techniques in computer graphics
Leif Kobbelt and Mario Botsch · 2004
Earlier work this paper cites.
Point-based rendering techniques
Miguel Sainz and Renato Pajarola · 2004
Earlier work this paper cites.
High-quality video view interpolation using a layered representation
C Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon Winder, and Richard Szeliski · 2004
Earlier work this paper cites.
Image-based rendering using image-based priors
A. W. Fitzgibbon, Y. Wexler, and A. Zisserman · 2005
Earlier work this paper cites.
A comparison and evaluation of multi-view stereo reconstruction algorithms
Steven M Seitz, Brian Curless, James Diebel, Daniel Scharstein, and Richard Szeliski · 2006
Earlier work this paper cites.
High-performance software rasterization on gpus
Samuli Laine and Tero Karras · 2011
Earlier work this paper cites.
Indoor segmentation and support inference from rgbd images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
Earlier work this paper cites.
Depth synthesis and local warps for plausible image-based navigation
Gaurav Chaurasia, Sylvain Duchene, Olga Sorkine-Hornung, and George Drettakis · 2013
Earlier work this paper cites.
Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
Earlier work this paper cites.
Image-based rendering in the gradient domain
Johannes Kopf, Fabian Langguth, Daniel Scharstein, Richard Szeliski, and Michael Goesele · 2013
Earlier work this paper cites.
Depth map prediction from a single image using a multi-scale deep network
David Eigen, Christian Puhrsch, and Rob Fergus · 2014
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Deep convolutional inverse graphics network
Tejas D Kulkarni, William F Whitney, Pushmeet Kohli, and Josh Tenenbaum · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Single-image depth perception in the wild
Weifeng Chen, Zhao Fu, Dawei Yang, and Jia Deng · 2016
Earlier work this paper cites.
InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
Earlier work this paper cites.
Multi-view 3D models from single images with a convolutional network
Maxim Tatarchenko, Alexey Dosovitskiy, and Thomas Brox · 2016
Earlier work this paper cites.
Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
Earlier work this paper cites.
View synthesis by appearance flow
Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, and Alexei A Efros · 2016
Earlier work this paper cites.
Matterport3D: Learning from RGB-D data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
Cited alongside, same era.
Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
Cited alongside, same era.
Transformation-grounded image generation network for novel 3D view synthesis
Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, and Alexander C Berg · 2017
Cited alongside, same era.
Soft 3D reconstruction for view synthesis
Eric Penner and Li Zhang · 2017
Cited alongside, same era.
Learning to synthesize a 4D rgbd light field from a single image
Pratul P Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, and Ren Ng · 2017
Cited alongside, same era.
Multi-view supervision for single-view reconstruction via differentiable ray consistency
Deepview: View synthesis with learned gradient descent
John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, and Richard Tucker · 2019
Closest in time.
Mesh r-cnn
Georgia Gkioxari, Jitendra Malik, and Justin Johnson · 2019
Closest in time.
Linearized multi-sampling for differentiable image transformation
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, and Kwang Moo Yi · 2019
Closest in time.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Closest in time.
Soft rasterizer: Differentiable rendering for unsupervised single-view mesh reconstruction
Shichen Liu, Weikai Chen, Tianye Li, and Hao Li · 2019
Closest in time.
Neural volumes: Learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Shubham Tulsiani, Tinghui Zhou, Alexei A Efros, and Jitendra Malik · 2017
Cited alongside, same era.
Interpretable transformations with encoder-decoder networks
Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, and Gabriel J. Brostow · 2017
Cited alongside, same era.
Unsupervised learning of depth and ego-motion from video
Tinghui Zhou, Matthew Brown, Noah Snavely, and David G Lowe · 2017
Cited alongside, same era.
Neural scene representation and rendering
SM Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S Morcos, Marta Garnelo, Avraham Ruderman, Andrei A Rusu, Ivo Danihelka, and Karol Gregor · 2018
Cited alongside, same era.
Atlasnet: A papier-mâché approach to learning 3d surface generation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
Cited alongside, same era.
Instant 3d photography
Peter Hedman and Johannes Kopf · 2018
Cited alongside, same era.
Deep blending for free-viewpoint image-based rendering
Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis, and Gabriel Brostow · 2018
Cited alongside, same era.
Closest in time.
Neural rerendering in the wild
Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, and Ricardo Martin-Brualla · 2019
Closest in time.
HoloGAN: Unsupervised learning of 3d representations from natural images
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, and Yong-Liang Yang · 2019
Closest in time.
3D Ken Burns effect from a single image
Simon Niklaus, Long Mai, Jimei Yang, and Feng Liu · 2019
Closest in time.
PerspectiveNet: A scene-consistent image generator for new view synthesis in real indoor environments
David Novotny, Ben Graham, and Jeremy Reizenstein · 2019
Closest in time.
Transformable bottleneck networks
Kyle Olszewski, Sergey Tulyakov, Oliver Woodford, Hao Li, and Linjie Luo · 2019
Closest in time.
Semantic image synthesis with spatially-adaptive normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
Closest in time.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Closest in time.
Habitat: A platform for embodied AI research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, and Dhruv Batra · 2019
Closest in time.
3D scene reconstruction with multi-layer depth and epipolar transformers
Daeyun Shin, Zhile Ren, Erik Sudderth, and Charless Fowlkes · 2019
Closest in time.
DeepVoxels: Learning persistent 3D feature embeddings
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, and Michael Zollhofer · 2019
Closest in time.
Scene representation networks: Continuous 3D-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
Closest in time.
Pushing the boundaries of view extrapolation with multiplane images
Pratul P Srinivasan, Richard Tucker, Jonathan T Barron, Ravi Ramamoorthi, Ren Ng, and Noah Snavely · 2019
Closest in time.
The Replica dataset: A digital replica of indoor spaces
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, and Richard Newcombe · 2019
Closest in time.
Boundless: Generative adversarial networks for image extension
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, and William T Freeman · 2019
Closest in time.
Wide-context semantic image extrapolation
Yi Wang, Xin Tao, Xiaoyong Shen, and Jiaya Jia · 2019
Closest in time.
Deep view synthesis from sparse photometric images
Zexiang Xu, Sai Bi, Kalyan Sunkavalli, Sunil Hadap, Hao Su, and Ravi Ramamoorthi · 2019
Closest in time.
Differentiable surface splatting for point-based geometry processing
Wang Yifan, Felice Serena, Shihao Wu, Cengiz Öztireli, and Olga Sorkine-Hornung · 2019
Closest in time.
Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2019
Closest in time.
Powered by AI: Turning any 2D photo into 3D using convolutional neural nets
Kevin Matzen, Matthew Yu, Jonathan Lehman, Peizhao Zhang, Jan-Michael Frahm, Peter Vajda, Johannes Kopf, and Matt Uyttendaele · 2020
Closest in time.