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The text-guided video inpainting technique has significantly improved the performance of content generation applications.
Video inpainting with short-term windows: Application to object removal and error concealment
Mounira Ebdelli, Olivier Le Meur, and Christine Guillemot · 2015
Earlier work this paper cites.
Video inpainting of complex scenes
Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, and Patrick Pérez · 2015
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.
A benchmark dataset and evaluation methodology for video object segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus H. Gross, and Alexander Sorkine-Hornung · 2016
Earlier work this paper cites.
Video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Nikolai Yakovenko, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
Earlier work this paper cites.
Youtube-vos: Sequence-to-sequence video object segmentation
Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian L. Price, Scott Cohen, and Thomas S. Huang · 2018
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Clipscore: A reference-free evaluation metric for image captioning
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi · 2021
Earlier work this paper cites.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
Earlier work this paper cites.
RAFT: recurrent all-pairs field transforms for optical flow (extended abstract)
Zachary Teed and Jia Deng · 2021
Earlier work this paper cites.
Towards an end-to-end framework for flow-guided video inpainting
Zhen Li, Chengze Lu, Jianhua Qin, Chun-Le Guo, and Ming-Ming Cheng · 2022
Earlier work this paper cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Flow-guided transformer for video inpainting
Kaidong Zhang, Jingjing Fu, and Dong Liu · 2022
Cited alongside, same era.
Videocrafter1: Open diffusion models for high-quality video generation
Haoxin Chen, Menghan Xia, Yingqing He, Yong Zhang, Xiaodong Cun, Shaoshu Yang, Jinbo Xing, Yaofang Liu, Qifeng Chen, Xintao Wang, Chao Weng, and Ying Shan · 2023
Cited alongside, same era.
Two birds, one stone: A unified framework for joint learning of image and video style transfers
Bohai Gu, Heng Fan, and Libo Zhang · 2023
Cited alongside, same era.
Segment anything, 2023
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
Cited alongside, same era.
Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
Later among the works it cites.
Propainter: Improving propagation and transformer for video inpainting
Shangchen Zhou, Chongyi Li, Kelvin C. K. Chan, and Chen Change Loy · 2023
Later among the works it cites.
A task is worth one word: Learning with task prompts for high-quality versatile image inpainting
Junhao Zhuang, Yanhong Zeng, Wenran Liu, Chun Yuan, and Kai Chen · 2023
Later among the works it cites.
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, and Bo Dai · 2024
Closest in time.
Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion
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Diffusion models already have A semantic latent space
Mingi Kwon, Jaeseok Jeong, and Youngjung Uh · 2023
Cited alongside, same era.
SDXL: improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
Cited alongside, same era.
Videocomposer: Compositional video synthesis with motion controllability
Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, and Jingren Zhou · 2023
Cited alongside, same era.
Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, and Mike Zheng Shou · 2023
Cited alongside, same era.
Smartbrush: Text and shape guided object inpainting with diffusion model
Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, and Kun Zhang · 2023
Cited alongside, same era.
Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang · 2023
Cited alongside, same era.
https://huggingface.co/stabilityai/stable-diffusion-2-depth
Cited in the paper.
Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, and Qiang Xu · 2024
Closest in time.
Open-sora-plan, 2024
PKU-Yuan Lab and Tuzhan AI etc · 2024
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Video-chatgpt: Towards detailed video understanding via large vision and language models
Muhammad Maaz, Hanoona Rasheed, Salman Khan, and Fahad Shahbaz Khan · 2024
Closest in time.
AVID: any-length video inpainting with diffusion model
Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, and Licheng Yu · 2024
Closest in time.
Bojia Zi, Shihao Zhao, Xianbiao Qi, Jianan Wang, Yukai Shi, Qianyu Chen, Bin Liang, Kam-Fai Wong, and Lei Zhang · 2024
Closest in time.
Diffueraser: A diffusion model for video inpainting
Xiaowen Li, Haolan Xue, Peiran Ren, and Liefeng Bo · 2025
Closest in time.