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Synthesizing motion-rich and temporally consistent videos remains a challenge in artificial intelligence, especially when dealing with extended durations.
A dataset of 101 human action classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Msr-vtt: A large video description dataset for bridging video and language
Jun Xu, Tao Mei, Ting Yao, and Yong Rui · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Fvd: A new metric for video generation
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, and Sylvain Gelly · 2019
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Point-to-point video generation
Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, and Min Sun · 2019
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Hierarchical patch vae-gan: Generating diverse videos from a single sample
Shir Gur, Sagie Benaim, and Lior Wolf · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Train sparsely, generate densely: Memory-efficient unsupervised training of high-resolution temporal gan
Masaki Saito, Shunta Saito, Masanori Koyama, and Sosuke Kobayashi · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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Imaginator: Conditional spatio-temporal gan for video generation
Yaohui Wang, Piotr Bilinski, Francois Bremond, and Antitza Dantcheva · 2020
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Frozen in time: A joint video and image encoder for end-to-end retrieval
Max Bain, Arsha Nagrani, Gül Varol, and Andrew Zisserman · 2021
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Temporal shift gan for large scale video generation
Andres Munoz, Mohammadreza Zolfaghari, Max Argus, and Thomas Brox · 2021
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Godiva: Generating open-domain videos from natural descriptions
Chenfei Wu, Lun Huang, Qianxi Zhang, Binyang Li, Lei Ji, Fan Yang, Guillermo Sapiro, and Nan Duan · 2021
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Videogpt: Video generation using vq-vae and transformers
Wilson Yan, Yunzhi Zhang, Pieter Abbeel, and Aravind Srinivas · 2021
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Imagen video: High definition video generation with diffusion models
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P Kingma, Ben Poole, Mohammad Norouzi, David J Fleet, et al · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2022
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Spnet: Learning stereo matching with slanted plane aggregation
Yun Wang, Longguang Wang, Hanyun Wang, and Yulan Guo · 2022
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Stable video diffusion: Scaling latent video diffusion models to large datasets
Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, et al · 2023
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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
Cited alongside, same era.
Seine: Short-to-long video diffusion model for generative transition and prediction
Xinyuan Chen, Yaohui Wang, Lingjun Zhang, Shaobin Zhuang, Xin Ma, Jiashuo Yu, Yali Wang, Dahua Lin, Yu Qiao, and Ziwei Liu · 2023
Cited alongside, same era.
Deep learning on implicit neural representations of shapes
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, and Luigi Di Stefano · 2023
Cited alongside, same era.
Emu video: Factorizing text-to-video generation by explicit image conditioning
Hico: Hierarchical controllable diffusion model for layout-to-image generation
Yuhang Ma, Shanyuan Liu, Ao Ma, Xiaoyu Wu, Dawei Leng, and Yuhui Yin · 2024
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Snap video: Scaled spatiotemporal transformers for text-to-video synthesis
Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov, Ekaterina Deyneka, Tsai-Shien Chen, Anil Kag, Yuwei Fang, Aleksei Stoliar, Elisa Ricci, Jian Ren, et al · 2024
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Pika lab discord server
PikaLabs · 2024
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Consisti2v: Enhancing visual consistency for image-to-video generation
Weiming Ren, Harry Yang, Ge Zhang, Cong Wei, Xinrun Du, Stephen Huang, and Wenhu Chen · 2024
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Gen2 discord server
Runway · 2024
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Rohit Girdhar, Mannat Singh, Andrew Brown, Quentin Duval, Samaneh Azadi, Sai Saketh Rambhatla, Akbar Shah, Xi Yin, Devi Parikh, and Ishan Misra · 2023
Cited alongside, same era.
I2v-adapter: A general image-to-video adapter for video diffusion models
Xun Guo, Mingwu Zheng, Liang Hou, Yuan Gao, Yufan Deng, Chongyang Ma, Weiming Hu, Zhengjun Zha, Haibin Huang, Pengfei Wan, et al · 2023
Cited alongside, same era.
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, and Bo Dai · 2023
Cited alongside, same era.
Res-tuning: A flexible and efficient tuning paradigm via unbinding tuner from backbone
Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Ao Ma, Yiliang Lv, Yujun Shen, Deli Zhao, and Jingren Zhou · 2023
Cited alongside, same era.
Evalcrafter: Benchmarking and evaluating large video generation models
Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond Chan, and Ying Shan · 2023
Cited alongside, same era.
Decomposed diffusion models for high-quality video generation
Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jinren Zhou, and Tieniu Tan · 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.
Freeinit: Bridging initialization gap in video diffusion models
Tianxing Wu, Chenyang Si, Yuming Jiang, Ziqi Huang, and Ziwei Liu · 2023
Cited alongside, same era.
Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin, and Xiaodan Liang · 2024
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Moonshot: Towards controllable video generation and editing with multimodal conditions
David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, and Doyen Sahoo · 2024
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Towards highly realistic artistic style transfer via stable diffusion with step-aware and layer-aware prompt
Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, et al · 2024
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Artbank: Artistic style transfer with pre-trained diffusion model and implicit style prompt bank
Zhanjie Zhang, Quanwei Zhang, Wei Xing, Guangyuan Li, Lei Zhao, Jiakai Sun, Zehua Lan, Junsheng Luan, Yiling Huang, and Huaizhong Lin · 2024
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Customttt: Motion and appearance customized video generation via test-time training
Xiuli Bi, Jian Lu, Bo Liu, Xiaodong Cun, Yong Zhang, Weisheng Li, and Bin Xiao · 2025
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Relactrl: Relevance-guided efficient control for diffusion transformers
Ke Cao, Jing Wang, Ao Ma, Jiasong Feng, Zhanjie Zhang, Xuanhua He, Shanyuan Liu, Bo Cheng, Dawei Leng, Yuhui Yin, et al · 2025
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Runze He, Bo Cheng, Yuhang Ma, Qingxiang Jia, Shanyuan Liu, Ao Ma, Xiaoyu Wu, Liebucha Wu, Dawei Leng, and Yuhui Yin · 2025
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Ragar: Retrieval augment personalized image generation guided by recommendation
Run Ling, Wenji Wang, Yuting Liu, Guibing Guo, Linying Jiang, and Xingwei Wang · 2025
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Bridge diffusion model: Bridge chinese text-to-image diffusion model with english communities
Shanyuan Liu, Bo Cheng, Yuhang Ma, Liebucha Wu, Ao Ma, Xiaoyu Wu, Dawei Leng, and Yuhui Yin · 2025
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Uni-layout: Integrating human feedback in unified layout generation and evaluation
Shuo Lu, Yanyin Chen, Wei Feng, Jiahao Fan, Fengheng Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, and Jian Liang · 2025
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Nami: Efficient image generation via progressive rectified flow transformers
Yuhang Ma, Bo Cheng, Shanyuan Liu, Ao Ma, Xiaoyu Wu, Liebucha Wu, Dawei Leng, and Yuhui Yin · 2025
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Eventvad: Training-free event-aware video anomaly detection
Yihua Shao, Haojin He, Sijie Li, Siyu Chen, Xinwei Long, Fanhu Zeng, Yuxuan Fan, Muyang Zhang, Ziyang Yan, Ao Ma, et al · 2025
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Wisa: World simulator assistant for physics-aware text-to-video generation
Jing Wang, Ao Ma, Ke Cao, Jun Zheng, Zhanjie Zhang, Jiasong Feng, Shanyuan Liu, Yuhang Ma, Bo Cheng, Dawei Leng, et al · 2025
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Learning robust stereo matching in the wild with selective mixture-of-experts
Yun Wang, Longguang Wang, Chenghao Zhang, Yongjian Zhang, Zhanjie Zhang, Ao Ma, Chenyou Fan, Tin Lun Lam, and Junjie Hu · 2025
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Dropoutgs: Dropping out gaussians for better sparse-view rendering
Yexing Xu, Longguang Wang, Minglin Chen, Sheng Ao, Li Li, and Yulan Guo · 2025
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U-stydit: Ultra-high quality artistic style transfer using diffusion transformers
Zhanjie Zhang, Ao Ma, Ke Cao, Jing Wang, Shanyuan Liu, Yuhang Ma, Bo Cheng, Dawei Leng, and Yuhui Yin · 2025
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