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Commercial video generation models have exhibited realistic, high-fidelity results but are still restricted to limited access.
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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Ucf101: A dataset of 101 human actions classes from videos in the wild
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Msr-vtt: A large video description dataset for bridging video and language
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Image-to-image translation with conditional adversarial networks
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Towards accurate generative models of video: A new metric & challenges
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Harry Potter and the goblet of fire
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Knowledge distillation in iterative generative models for improved sampling speed
Eric Luhman and Troy Luhman · 2021
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Score-based generative modeling through stochastic differential equations
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Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
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Latent-shift: Latent diffusion with temporal shift for efficient text-to-video generation
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Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, and Jenia Jitsev · 2023
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Emu video: Factorizing text-to-video generation by explicit image conditioning
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Pyramidal flow matching for efficient video generative modeling
Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, and Zhouchen Lin · 2024
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Efficient diffusion training via min-snr weighting strategy
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Consistency models
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