【Sora资源最全合集】 - 酷夫资源搜索-网盘资源搜索神器

• file:sora学习论文-打包防和谐.zip
• file:特殊环境篇.xlsx
• file:Unsupervised Learning of Video Representations using LSTMs.pdf
• file:Scalable Diffusion Models with Transformers .pdf
• file:Auto-Encoding Variational Bayes.pdf
• file:Attention Is All You Need.pdf
• file:Improving Image Generation with Better Captions.pdf
• file:ViViT- A Video Vision Transformer.pdf
• file:Recurrent Environment Simulators.pdf
• file:An Image is Worth 16x16 Words- Transformers for Image Recognition at Scale.pdf
• file:World Models.pdf
• file:Generating Long Videos of Dynamic Scenes.pdf
• file:VideoGPT- Video Generation using VQ-VAE and Transformers.pdf
• file:Patch n' Pack- NaViT, a Vision Transformer for any Aspect Ratio and Resolution.pdf
• file:NUWA- Visual Synthesis Pre-training for Neural visUal World creAtion .pdf
• file:Improved Denoising Diffusion Probabilistic Models.pdf
• file:Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.pdf
• file:SDEdit- Guided Image Synthesis and Editing with Stochastic Differential Equations .pdf
• file:Generative Pretraining From Pixels.pdf
• file:Zero-Shot Text-to-Image Generation.pdf
• file:Photorealistic Video Generation with Diffusion Models.pdf
• file:MoCoGAN- Decomposing Motion and Content for Video Generation.pdf
• file:Align your Latents- High-Resolution Video Synthesis with Latent Diffusion Models.pdf
• file:Adversarial Video Generation on Complex Datasets.pdf
• file:Language Models are Few-Shot Learners.pdf
• file:Elucidating the Design Space of Diffusion-Based Generative Models.pdf
• file:Generating Videos with Scene Dynamics.pdf
• file:Masked Autoencoders Are Scalable Vision Learners.pdf
• file:Hierarchical Text-Conditional Image Generation with CLIP Latents.pdf
• file:Deep Unsupervised Learning using Nonequilibrium Thermodynamics.pdf
• file:Diffusion Models Beat GANs on Image Synthesis.pdf
• file:利用Sora文生视频模型生成视频内容.docx
• file:本教程所学内容的回顾与总结.docx
• file:2、本教程的目标与学习内容.docx
• file:应对复杂场景和特定需求.docx
• file:指导模型生成符合预期的视频内容.docx
• file:创造共鸣与参与感.docx
• file:避免冗余和模糊表达.docx
• file:使用具体、生动的词汇.docx
• folder:【Sora资源最全合集】
• folder:Sora学习论文
• folder:5、实战篇：案例分析与操作指导
• folder:6、总结与展望
• folder:2、基础篇：了解提示词
• folder:1、前言
• folder:4、高级篇：提示词与视频创作的融合
• folder:2、不同类型的提示词及其作用
• folder:3、指令性提示词的巧妙运用
• folder:2、情感引导与观众共鸣
• folder:1、关键词优化技巧