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Diffusion models have enabled high-quality, conditional image editing capabilities.
3D-R2N2: A unified approach for single and multi-view 3D object reconstruction. In CVPR . 1951–1960
Christopher B Choy, JunYoung Gwak, Man-Hsin Chen, and Silvio Savarese. 2016 · 1960
Earlier work this paper cites.
Blue screen matting. In SIGGRAPH
Alvy Ray Smith and James F Blinn. 1996 · 1996
Earlier work this paper cites.
Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. In SIGGRAPH
Paul Debevec. 1998 · 1998
Earlier work this paper cites.
Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake. 2003 · 2003
Earlier work this paper cites.
Rendering synthetic objects into legacy photographs
Kevin Karsch, Varsha Hedau, David Forsyth, and Derek Hoiem. 2011 · 2011
Earlier work this paper cites.
Automatic scene inference for 3D object compositing
Kevin Karsch, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Hailin Jin, Rafael Fonte, Michael Sittig, and David Forsyth. 2014 · 2014
Earlier work this paper cites.
3D object manipulation in a single photograph using stock 3D models
Natasha Kholgade, Tomas Simon, Alexei Efros, and Yaser Sheikh. 2014 · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context. In European conference on computer vision . Springer, 740–755
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014 · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics. In International Conference on Machine Learning . PMLR, 2256–2265
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. 2015 · 2015
Earlier work this paper cites.
Cut, paste and learn: Surprisingly easy synthesis for instance detection. In Proceedings of the IEEE international conference on computer vision . 1301–1310
Debidatta Dwibedi, Ishan Misra, and Martial Hebert. 2017 · 2017
Earlier work this paper cites.
Deep image harmonization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 3789–3797
Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, and Ming-Hsuan Yang. 2017 · 2017
Earlier work this paper cites.
Marrnet: 3d shape reconstruction via 2.5 d sketches
Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, Bill Freeman, and Josh Tenenbaum. 2017 · 2017
Earlier work this paper cites.
ST-GAN: Spatial transformer generative adversarial networks for image compositing. In CVPR
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, and Simon Lucey. 2018 · 2018
Earlier work this paper cites.
Faces as lighting probes via unsupervised deep highlight extraction. In ECCV
Renjiao Yi, Chenyang Zhu, Ping Tan, and Stephen Lin. 2018 · 2018
Earlier work this paper cites.
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. In CVPR
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018 · 2018
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 4401–4410
Tero Karras, Samuli Laine, and Timo Aila. 2019 · 2019
Earlier work this paper cites.
Disn: Deep implicit surface network for high-quality single-view 3d reconstruction
Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann. 2019 · 2019
Earlier work this paper cites.
Making Convolutional Networks Shift-Invariant Again. In ICML
Richard Zhang. 2019 · 2019
Earlier work this paper cites.
Compositional GAN: Learning image-conditional binary composition
Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, and Trevor Darrell. 2020 · 2020
Earlier work this paper cites.
Dovenet: Deep image harmonization via domain verification. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8394–8403
Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, and Liqing Zhang. 2020 · 2020
Cited alongside, same era.
Improving the harmony of the composite image by spatial-separated attention module
Xiaodong Cun and Chi-Man Pun. 2020 · 2020
Cited alongside, same era.
Impressionist-landscapes-paintings
Rob Gonsalves. 2020 · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
Cited alongside, same era.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon. 2020 · 2020
Cited alongside, same era.
ediffi: Text-to-image diffusion models with an ensemble of expert denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, et al · 2022
Later among the works it cites.
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros. 2022 · 2022
Later among the works it cites.
Abo: Dataset and benchmarks for real-world 3d object understanding. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 21126–21136
Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F Yago Vicente, Thomas Dideriksen, Himanshu Arora, et al · 2022
Later among the works it cites.
An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or. 2022 · 2022
Later among the works it cites.
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Deep image blending. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision . 231–240
Lingzhi Zhang, Tarmily Wen, and Jianbo Shi. 2020 · 2020
Cited alongside, same era.
Ilvr: Conditioning method for denoising diffusion probabilistic models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon. 2021 · 2021
Cited alongside, same era.
Bargainnet: Background-guided domain translation for image harmonization. In 2021 IEEE International Conference on Multimedia and Expo (ICME) . IEEE, 1–6
Wenyan Cong, Li Niu, Jianfu Zhang, Jing Liang, and Liqing Zhang. 2021 · 2021
Cited alongside, same era.
Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol. 2021 · 2021
Cited alongside, same era.
Deep Neural Models for Illumination Estimation and Relighting: A Survey. In Computer Graphics Forum
Farshad Einabadi, Jean-Yves Guillemaut, and Adrian Hilton. 2021 · 2021
Cited alongside, same era.
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, and Daniel Cohen-Or. 2021 · 2021
Cited alongside, same era.
Ssh: A self-supervised framework for image harmonization. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 4832–4841
Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, and Zhangyang Wang. 2021 · 2021
Cited alongside, same era.
Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or. 2022 · 2022
Later among the works it cites.
Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans. 2022 · 2022
Later among the works it cites.
Shadow generation for composite image in real-world scenes. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 36. 914–922
Yan Hong, Li Niu, and Jianfu Zhang. 2022 · 2022
Later among the works it cites.
Imagic: Text-Based Real Image Editing with Diffusion Models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani. 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.
Null-text Inversion for Editing Real Images using Guided Diffusion Models
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or. 2022 · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
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High-Resolution Image Synthesis with Latent Diffusion Models. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 10674–10685
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022a · 2022
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Palette: Image-to-image diffusion models. In ACM SIGGRAPH 2022 Conference Proceedings . 1–10
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi. 2022 · 2022
Later among the works it cites.
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel. 2022 · 2022
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Unitune: Text-driven image editing by fine tuning an image generation model on a single image
Dani Valevski, Matan Kalman, Yossi Matias, and Yaniv Leviathan. 2022 · 2022
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MagicPony: Learning Articulated 3D Animals in the Wild
Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, and Andrea Vedaldi. 2022 · 2022
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Paint by Example: Exemplar-based Image Editing with Diffusion Models
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, and Fang Wen. 2022 · 2022
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SAC-GAN: 3Structure-Aware Image Composition
Hang Zhou, Rui Ma, Ling-Xiao Zhang, Lin Gao, Ali Mahdavi-Amiri, and Hao Zhang. 2022 · 2022
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Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, and Yong Jae Lee. 2023 · 2023
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