[GN⁺] OpenAI Sora: 텍스트에서 비디오를 생성하는 AI 모델 공개

[9bow (박정환)]

HuggingFace의 fffiloni라는 사용자가 OpenAI Sora의 참고 논문들을 정리하였습니다.

전체 목록은 아래 링크에서 확인하실 수 있습니다.

Sora Reference Papers - a fffiloni Collection

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아래 목록은 위 목록을 arXiv 링크로 변경해둔 것입니다.

• Unsupervised Learning of Video Representations using LSTMs / Paper•1502.04681•Published Feb 17, 2015

• Recurrent Environment Simulators / Paper•1704.02254•Published Apr 7, 2017

• World Models / Paper•1803.10122•Published Mar 28, 2018

• Generating Videos with Scene Dynamics / Paper•1609.02612•Published Sep 9, 2016

• MoCoGAN: Decomposing Motion and Content for Video Generation / Paper•1707.04993•Published Jul 17, 2017

• Adversarial Video Generation on Complex Datasets / Paper•1907.06571•Published Jul 16, 2019

• Generating Long Videos of Dynamic Scenes / Paper•2206.03429•Published Jun 8, 2022

• VideoGPT: Video Generation using VQ-VAE and Transformers / Paper•2104.10157•Published Apr 21, 2021•2

• NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion / Paper•2111.12417•Published Nov 24, 2021

• Imagen Video: High Definition Video Generation with Diffusion Models / Paper•2210.02303•Published Oct 5, 2022

• Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models / Paper•2304.08818•Published Apr 18, 2023•4

• Photorealistic Video Generation with Diffusion Models / Paper•2312.06662•Published Dec 12, 2023•20

• Language Models are Few-Shot Learners / Paper•2005.14165•Published May 29, 2020•7

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale / Paper•2010.11929•Published Oct 23, 2020•2

• ViViT: A Video Vision Transformer / Paper•2103.15691•Published Mar 30, 2021

• Masked Autoencoders Are Scalable Vision Learners / Paper•2111.06377•Published Nov 12, 2021•1

• Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution / Paper•2307.06304•Published Jul 13, 2023•22

• High-Resolution Image Synthesis with Latent Diffusion Models / Paper•2112.10752•Published Dec 21, 2021•5

• Auto-Encoding Variational Bayes / Paper•1312.6114•Published Dec 21, 2013

• Deep Unsupervised Learning using Nonequilibrium Thermodynamics / Paper•1503.03585•Published Mar 12, 2015

• Denoising Diffusion Probabilistic Models / Paper•2006.11239•Published Jun 20, 2020•1

• Improved Denoising Diffusion Probabilistic Models / Paper•2102.09672•Published Feb 19, 2021•1

• Diffusion Models Beat GANs on Image Synthesis / Paper•2105.05233•Published May 12, 2021

• Elucidating the Design Space of Diffusion-Based Generative Models / Paper•2206.00364•Published Jun 1, 2022•1

• Scalable Diffusion Models with Transformers / Paper•2212.09748•Published Dec 20, 2022•2

• Zero-Shot Text-to-Image Generation / Paper•2102.12092•Published Feb 24, 2021

• Scaling Autoregressive Models for Content-Rich Text-to-Image Generation / Paper•2206.10789•Published Jun 22, 2022•1

• Hierarchical Text-Conditional Image Generation with CLIP Latents / Paper•2204.06125•Published Apr 13, 2022•1

• SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations / Paper•2108.01073•Published Aug 3, 2021•4

• Attention Is All You Need / Paper•1706.03762•Published Jun 13, 2017•23