MotionCrafter: One-Shot Motion Customization of Diffusion Models

Frozen in time: A joint video and image encoder for end-to-end retrieval

Max Bain, Arsha Nagrani, Gül Varol, and Andrew Zisserman · 2021

Earlier work this paper cites.

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

Earlier work this paper cites.

Break-A-Scene: Extracting multiple concepts from a single image

Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, and Dani Lischinski · 2023

Earlier work this paper cites.

Align your latents: High-resolution video synthesis with latent diffusion models

Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis · 2023

Earlier work this paper 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 · 2023

Earlier work this paper cites.

TaleCrafter: Interactive story visualization with multiple characters

Yuan Gong, Youxin Pang, Xiaodong Cun, Menghan Xia, Yingqing He, Haoxin Chen, Longyue Wang, Yong Zhang, Xintao Wang, Ying Shan, and Yujiu Yang · 2023

Earlier work this paper cites.

Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Original

Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, and Bo Dai · 2023

Earlier work this paper cites.

Animate-A-Story: Storytelling with retrieval-augmented video generation

Original

Yingqing He, Menghan Xia, Haoxin Chen, Xiaodong Cun, Yuan Gong, Jinbo Xing, Yong Zhang, Xintao Wang, Chao Weng, Ying Shan, et al · 2023

Cited alongside, same era.

ReVersion: Diffusion-based relation inversion from images

Original

Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C.K. Chan, and Ziwei Liu · 2023

Cited alongside, same era.

Text2Video-Zero: Text-to-image diffusion models are zero-shot video generators

Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, and Humphrey Shi · 2023

Cited alongside, same era.

Multi-concept customization of text-to-image diffusion

Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu · 2023

Cited alongside, same era.

VideoFusion: Decomposed diffusion models for high-quality video generation

Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jingren Zhou, and Tieniu Tan · 2023

Make-a-Video: Text-to-video generation without text-video data

Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, et al · 2023

Closest in time.

p + p+ : Extended textual conditioning in text-to-image generation

Original

Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, and Kfir Aberman · 2023

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Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery

Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, and Tom Goldstein · 2023

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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

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Rerender A Video: Zero-shot text-guided video-to-video translation

Shuai Yang, Yifan Zhou, Ziwei Liu, , and Chen Change Loy · 2023

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