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Temporally consistent video-to-video generation is critical for applications such as style transfer and upsampling.
Coherent noise for non-photorealistic rendering
Michael Kass and Davide Pesare · 2011
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A connection between score matching and denoising autoencoders
Pascal Vincent · 2011
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Efficient and Flexible Sampling with Blue Noise Properties of Triangular Meshes
M. Corsini, P. Cignoni, and R. Scopigno · 2012
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Blue noise through optimal transport
Fernando de Goes, Katherine Breeden, Victor Ostromoukhov, and Mathieu Desbrun · 2012
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Holistically-nested edge detection
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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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Stereo magnification: Learning view synthesis using multiplane images
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely · 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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Video instance segmentation
Linjie Yang, Yuchen Fan, and Ning Xu · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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Alias-free generative adversarial networks
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2021
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Scalar Spatiotemporal Blue Noise Masks
Alan Wolfe, Nathan Morrical, Tomas Akenine-Möller, and Ravi Ramamoorthi · 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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Musiq: Multi-scale image quality transformer
Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang · 2021
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jegou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Pixel difference networks for efficient edge detection
Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, and Li Liu · 2021
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Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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Denoising diffusion-based generative modeling: Foundations and applications
Karsten Kreis, Ruiqi Gao, and Arash Vahdat · 2022
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Generative modelling with inverse heat dissipation
Severi Rissanen, Markus Heinonen, and Arno Solin · 2022
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Han Lin, Jaemin Cho, Abhay Zala, and Mohit Bansal · 2024
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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 · 2024
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Draganything: Motion control for anything using entity representation
Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, and Di Zhang · 2024
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Image conductor: Precision control for interactive video synthesis
Yaowei Li, Xintao Wang, Zhaoyang Zhang, Zhouxia Wang, Ziyang Yuan, Liangbin Xie, Yuexian Zou, and Ying Shan · 2024
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Trip: Temporal residual learning with image noise prior for image-to-video diffusion models
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Scalable diffusion models with transformers
William Peebles and Saining Xie · 2023
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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
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Dragnuwa: Fine-grained control in video generation by integrating text, image, and trajectory
Shengming Yin, Chenfei Wu, Jian Liang, Jie Shi, Houqiang Li, Gong Ming, and Nan Duan · 2023
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Preserve your own correlation: A noise prior for video diffusion models
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, and Yogesh Balaji · 2023
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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
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Multisample flow matching: Straightening flows with minibatch couplings
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, and Ricky TQ Chen · 2023
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Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, and Yoshua Bengio · 2023
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Zhongwei Zhang, Fuchen Long, Yingwei Pan, Zhaofan Qiu, Ting Yao, Yang Cao, and Tao Mei · 2024
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Improve temporal consistency in diffusion models through noise correlations, 2024
Kexin Lu, Yuxi CAI, Lan Li, Dafei Qin, and Guodong Li · 2024
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Improved distribution matching distillation for fast image synthesis
Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Fredo Durand, and William T Freeman · 2024
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Openvid-1m: A large-scale high-quality dataset for text-to-video generation
Kepan Nan, Rui Xie, Penghao Zhou, Tiehan Fan, Zhenheng Yang, Zhijie Chen, Xiang Li, Jian Yang, and Ying Tai · 2024
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Vidgen-1m: A large-scale dataset for text-to-video generation
Zhiyu Tan, Xiaomeng Yang, Luozheng Qin, and Hao Li · 2024
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Llava-next: Improved reasoning, ocr, and world knowledge, January 2024a
Haotian Liu, Chunyuan Li, Yuheng Li, Bo Li, Yuanhan Zhang, Sheng Shen, and Yong Jae Lee · 2024
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Pyramidal flow matching for efficient video generative modeling
Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, and Zhouchen Lin · 2024
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Open-sora: Democratizing efficient video production for all
Zangwei Zheng, Xiangyu Peng, Tianji Yang, Chenhui Shen, Shenggui Li, Hongxin Liu, Yukun Zhou, Tianyi Li, and Yang You · 2024
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Blobgen-vid: Compositional text-to-video generation with blob video representations
Weixi Feng, Chao Liu, Sifei Liu, William Yang Wang, Arash Vahdat, and Weili Nie · 2025
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Sg-i2v: Self-guided trajectory control in image-to-video generation
Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, and David B. Lindell · 2025
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Consistent flow distillation for text-to-3d generation
Runjie Yan, Yinbo Chen, and Xiaolong Wang · 2025
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EQ-VAE: Equivariance regularized latent space for improved generative image modeling
Theodoros Kouzelis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis · 2025
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Vace: All-in-one video creation and editing
Zeyinzi Jiang, Zhen Han, Chaojie Mao, Jingfeng Zhang, Yulin Pan, and Yu Liu · 2025
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Self forcing: Bridging the train-test gap in autoregressive video diffusion
Xun Huang, Zhengqi Li, Guande He, Mingyuan Zhou, and Eli Shechtman · 2025
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