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360$^\circ$ panoramas are extensively utilized as environmental light sources in computer graphics.
Distinctive image features from scale-invariant keypoints
David G Lowe. 2004 · 2004
Earlier work this paper cites.
Recognizing scene viewpoint using panoramic place representation. In 2012 IEEE Conference on Computer Vision and Pattern Recognition . IEEE, 2695–2702
Jianxiong Xiao, Krista A Ehinger, Aude Oliva, and Antonio Torralba. 2012 · 2012
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18 . Springer, 234–241
Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015 · 2015
Earlier work this paper cites.
Learning to predict indoor illumination from a single image
Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, and Jean-François Lalonde. 2017 · 2017
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Superpoint: Self-supervised interest point detection and description. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops . 224–236
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich. 2018 · 2018
Earlier work this paper cites.
Attention u-net: Learning where to look for the pancreas
Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, et al · 2018
Earlier work this paper cites.
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2020 · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
Earlier work this paper cites.
Superglue: Learning feature matching with graph neural networks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 4938–4947
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich. 2020 · 2020
Earlier work this paper cites.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon. 2020 · 2020
Earlier work this paper cites.
Extreme rotation estimation using dense correlation volumes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 14566–14575
Ruojin Cai, Bharath Hariharan, Noah Snavely, and Hadar Averbuch-Elor. 2021 · 2021
Earlier work this paper cites.
Crossvit: Cross-attention multi-scale vision transformer for image classification. In Proceedings of the IEEE/CVF international conference on computer vision . 357–366
Chun-Fu Richard Chen, Quanfu Fan, and Rameswar Panda. 2021 · 2021
Earlier work this paper cites.
Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol. 2021 · 2021
Cited alongside, same era.
Taming transformers for high-resolution image synthesis. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 12873–12883
Patrick Esser, Robin Rombach, and Bjorn Ommer. 2021 · 2021
Cited alongside, same era.
Learning Transferable Visual Models From Natural Language Supervision. In ICML
Alec Radford, Jong Wook Kim, Chris Hallacy, A. Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
Cited alongside, same era.
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2021 · 2021
Cited alongside, same era.
Stable Diffusion
RunwayML. 2021 · 2021
Cited alongside, same era.
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. In ICML
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi. 2022 · 2022
Later among the works it cites.
Kang Liao, Xiangyu Xu, Chunyu Lin, Wenqi Ren, Yunchao Wei, and Yao Zhao. 2022 · 2022
Later among the works it cites.
Partial convolution for padding, inpainting, and image synthesis
Guilin Liu, Aysegul Dundar, Kevin J Shih, Ting-Chun Wang, Fitsum A Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, and Bryan Catanzaro. 2022 · 2022
Later among the works it cites.
Repaint: Inpainting using denoising diffusion probabilistic models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 11461–11471
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool. 2022 · 2022
Later among the works it cites.
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Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I Chang, and Yan Xu. 2021b · 2021
Cited alongside, same era.
Diverse plausible 360-degree image outpainting for efficient 3dcg background creation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 11441–11450
Naofumi Akimoto, Yuhi Matsuo, and Yoshimitsu Aoki. 2022 · 2022
Cited alongside, same era.
Text2light: Zero-shot text-driven HDR panorama generation
Zhaoxi Chen, Guangcong Wang, and Ziwei Liu. 2022 · 2022
Cited alongside, same era.
Guided Co-Modulated GAN for 360° Field of View Extrapolation. In 2022 International Conference on 3D Vision (3DV) . IEEE, 475–485
Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy, Jonathan Eisenmann, Siavash Khodadadeh, and Jean-François Lalonde. 2022 · 2022
Cited alongside, same era.
Spherical Image Generation From a Few Normal-Field-of-View Images by Considering Scene Symmetry
Takayuki Hara, Yusuke Mukuta, and Tatsuya Harada. 2022 · 2022
Cited alongside, same era.
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan, David J Fleet, Mohammad Norouzi, and Tim Salimans. 2022 · 2022
Cited alongside, same era.
Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans. 2022 · 2022
Cited alongside, same era.
Virtual correspondence: Humans as a cue for extreme-view geometry. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 15924–15934
Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, and Antonio Torralba. 2022 · 2022
Later among the works it cites.
On Aliased Resizing and Surprising Subtleties in GAN Evaluation. In CVPR
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu. 2022 · 2022
Later among the works it cites.
The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. In 3DV
Chris Rockwell, Justin Johnson, and David F. Fouhey. 2022 · 2022
Later among the works it cites.
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
Later among the works it cites.
Resolution-robust large mask inpainting with fourier convolutions. In Proceedings of the IEEE/CVF winter conference on applications of computer vision . 2149–2159
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, and Victor Lempitsky. 2022 · 2022
Later among the works it cites.
Stylelight: Hdr panorama generation for lighting estimation and editing. In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XV . Springer, 477–492
Guangcong Wang, Yinuo Yang, Chen Change Loy, and Ziwei Liu. 2022a · 2022
Later among the works it cites.
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Yinhuai Wang, Jiwen Yu, and Jian Zhang. 2022b · 2022
Later among the works it cites.
Deep Learning for Camera Calibration and Beyond: A Survey
Kang Liao, Lang Nie, Shujuan Huang, Chunyu Lin, Jing Zhang, Yao Zhao, Moncef Gabbouj, and Dacheng Tao. 2023 · 2023
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Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang and Maneesh Agrawala. 2023 · 2023
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