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Image animation has become a promising area in multimodal research, with a focus on generating videos from reference images.
Recognizing action at a distance
Efros, Berg, Mori, and Malik · 2003
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Markerless human motion transfer
German KM Cheung, Simon Baker, Jessica Hodgins, and Takeo Kanade · 2004
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Image quality metrics: Psnr vs. ssim
Alain Hore and Djemel Ziou · 2010
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Video-based characters: creating new human performances from a multi-view video database
Feng Xu, Yebin Liu, Carsten Stoll, James Tompkin, Gaurav Bharaj, Qionghai Dai, Hans-Peter Seidel, Jan Kautz, and Christian Theobalt · 2011
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Generating videos with scene dynamics
Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
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Stochastic variational video prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H Campbell, and Sergey Levine · 2017
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To create what you tell: Generating videos from captions
Yingwei Pan, Zhaofan Qiu, Ting Yao, Houqiang Li, and Tao Mei · 2017
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Temporal generative adversarial nets with singular value clipping
Masaki Saito, Eiichi Matsumoto, and Shunta Saito · 2017
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Decomposing motion and content for natural video sequence prediction
Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, and Honglak Lee · 2017
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Stochastic video generation with a learned prior
Emily Denton and Rob Fergus · 2018
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Densepose: Dense human pose estimation in the wild
Rıza Alp Güler, Natalia Neverova, and Iasonas Kokkinos · 2018
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Stochastic adversarial video prediction
Alex X Lee, Richard Zhang, Frederik Ebert, Pieter Abbeel, Chelsea Finn, and Sergey Levine · 2018
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Video generation from text
Yitong Li, Martin Min, Dinghan Shen, David Carlson, and Lawrence Carin · 2018
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Mocogan: Decomposing motion and content for video generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, and Jan Kautz · 2018
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Towards accurate generative models of video: A new metric & challenges
Thomas Unterthiner, Sjoerd Van Steenkiste, Karol Kurach, Raphael Marinier, Marcin Michalski, and Sylvain Gelly · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Improved conditional vrnns for video prediction
Lluis Castrejon, Nicolas Ballas, and Aaron Courville · 2019
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Everybody dance now
Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A Efros · 2019
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First order motion model for image animation
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe · 2019
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Aist dance video database: Multi-genre, multi-dancer, and multi-camera database for dance information processing
Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki, and Masataka Goto · 2019
Cited alongside, same era.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
Cited alongside, same era.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
Cited alongside, same era.
Pose with style: Detail-preserving pose-guided image synthesis with conditional stylegan
Badour Albahar, Jingwan Lu, Jimei Yang, Zhixin Shu, Eli Shechtman, and Jia-Bin Huang · 2021
Cited alongside, same era.
Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffusion
Di Chang, Yichun Shi, Quankai Gao, Hongyi Xu, Jessica Fu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, and Mohammad Soleymani · 2023
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Cp-pinns: Changepoints detection in pdes using physics informed neural networks with total-variation penalty
Zhikang Dong and Pawel Polak · 2023
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Structure and content-guided video synthesis with diffusion models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, and Anastasis Germanidis · 2023
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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 · 2023
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Dreampose: Fashion image-to-video synthesis via stable diffusion
Johanna Karras, Aleksander Holynski, Ting-Chun Wang, and Ira Kemelmacher-Shlizerman · 2023
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Ast: Audio spectrogram transformer
Yuan Gong, Yu-An Chung, and James Glass · 2021
Cited alongside, same era.
Learning high fidelity depths of dressed humans by watching social media dance videos
Yasamin Jafarian and Hyun Soo Park · 2021
Cited alongside, same era.
Ai choreographer: Music conditioned 3d dance generation with aist++
Ruilong Li, Shan Yang, David A Ross, and Angjoo Kanazawa · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Motion representations for articulated animation
Aliaksandr Siarohin, Oliver J Woodford, Jian Ren, Menglei Chai, and Sergey Tulyakov · 2021
Cited alongside, same era.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Later among the works it cites.
M2c: Concise music representation for 3d dance generation
Matthew Marchellus and In Kyu Park · 2023
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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
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Mm-diffusion: Learning multi-modal diffusion models for joint audio and video generation
Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, and Baining Guo · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and Karen Liu · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Video generation models as world simulators
Tim Brooks, Bill Peebles, Connor Holmes, Will DePue, Yufei Guo, Li Jing, David Schnurr, Joe Taylor, Troy Luhman, Eric Luhman, Clarence Ng, Ricky Wang, and Aditya Ramesh · 2024
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Mapping the invisible: Face-gps for facial muscle dynamics in videos
Zhikang Dong, Juni Kim, and Paweł Polak · 2024
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Animate anyone: Consistent and controllable image-to-video synthesis for character animation
Li Hu · 2024
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Kling video model
Kuaishou · 2024
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Tackling data bias in music-avqa: Crafting a balanced dataset for unbiased question-answering
Xiulong Liu, Zhikang Dong, and Peng Zhang · 2024
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Lm2d: Lyrics-and music-driven dance synthesis
Wenjie Yin, Xuejiao Zhao, Yi Yu, Hang Yin, Danica Kragic, and Mårten Björkman · 2024
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Hedge fund portfolio construction using polymodel theory and itransformer
Siqiao Zhao, Zhikang Dong, Zeyu Cao, and Raphael Douady · 2024
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Livephoto: Real image animation with text-guided motion control
Xi Chen, Zhiheng Liu, Mengting Chen, Yutong Feng, Yu Liu, Yujun Shen, and Hengshuang Zhao · 2025
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