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This work presents AnyDoor, a diffusion-based image generator with the power to teleport target objects to new scenes at user-specified locations in a harmonious way.
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Multi-scale image harmonization
Kalyan Sunkavalli, Micah K Johnson, Wojciech Matusik, and Hanspeter Pfister · 2010
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Adam: A method for stochastic optimization
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Very deep convolutional networks for large-scale image recognition
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Salient object detection: A benchmark
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Youtube-vos: A large-scale video object segmentation benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang · 2018
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Video instance segmentation
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Virtually trying on new clothing with arbitrary poses
Na Zheng, Xuemeng Song, Zhaozheng Chen, Linmei Hu, Da Cao, and Liqiang Nie · 2019
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Dovenet: Deep image harmonization via domain verification
Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, and Liqing Zhang · 2020
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U2-net: Going deeper with nested u-structure for salient object detection
Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R Zaiane, and Martin Jagersand · 2020
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Conditional diffusion for interactive segmentation
Xi Chen, Zhiyan Zhao, Feiwu Yu, Yilei Zhang, and Manni Duan · 2021
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Viton-hd: High-resolution virtual try-on via misalignment-aware normalization
Seunghwan Choi, Sunghyun Park, Minsoo Lee, and Jaegul Choo · 2021
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Intrinsic image harmonization
Zonghui Guo, Haiyong Zheng, Yufeng Jiang, Zhaorui Gu, and Bing Zheng · 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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Unidentified video objects: A benchmark for dense, open-world segmentation
Weiyao Wang, Matt Feiszli, Heng Wang, and Du Tran · 2021
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Omri Avrahami, Dani Lischinski, and Ohad Fried · 2022
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High-resolution image harmonization via collaborative dual transformations
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Large-scale video panoptic segmentation in the wild: A benchmark
Jiaxu Miao, Xiaohan Wang, Yu Wu, Wei Li, Xu Zhang, Yunchao Wei, and Yi Yang · 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
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Imagic: Text-based real image editing with diffusion models
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Segment anything
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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High-resolution image synthesis with latent diffusion models
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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Dccf: Deep comprehensible color filter learning framework for high-resolution image harmonization
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Break-a-scene: Extracting multiple concepts from a single image
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, and Dani Lischinski · 2023
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Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing
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Controllable image generation via collage representations
Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J Pal, Jakob Verbeek, and Michal Drozdzal · 2023
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Jing Shi, Wei Xiong, Zhe Lin, and Hyun Joon Jung · 2023
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Objectstitch: Object compositing with diffusion model
Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, and Daniel Aliaga · 2023
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Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
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Customnet: Zero-shot object customization with variable-viewpoints in text-to-image diffusion models
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Sine: Single image editing with text-to-image diffusion models
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Dinov2: Learning robust visual features without supervision
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Collage diffusion
Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, and Kayvon Fatahalian · 2024
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