ModelScopeT2V是17B的文生视频大模型,由阿里巴巴达摩院发布,且模型和代码完全开源。当中提出的多层时空机制和多帧训练法非常值得借鉴。这篇博客详细解读一下ModelScopeT2V背后的技术。 12、解读Sketching the Future (STF):零样本条件视频生成 基于草图的视频生成目前是一个基本无人探索过的领域,videocomposer做过一些...
4.2.4 Multi-Modal Video Editing Make-A-Protagonist 提出了一个多模态条件视频编辑框架,用于更改主角。具体来说,他们利用 BLIP-2 进行视频字幕生成,使用 CLIP Vision Model 和 DALLE-2 Prior 进行视觉和文本线索编码,以及使用 ControlNet 来确保视频的一致性。在推断期间,他们提出了一种基于掩模的去噪采样方法,以...
ModelScope (Text-to-video synthesis) Diffusers (Text-to-video synthesis) Evaluation Benchmarks and Metrics MEt3R: Measuring Multi-View Consistency in Generated Images (Jan., 2025) Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation...
To address this, we propose MotionEditor, a diffusion model for video motion editing. MotionEditor incorporates a novel content-aware motion adapter into ControlNet to capture temporal motion correspondence. While ControlNet enables direct generation based on skeleton poses, it encounters challenges when...
CVPR 2023 Text Guided Video Editing Competition - - Oct., 2023 EvalCrafter: Benchmarking and Evaluating Large Video Generation Models Oct., 2023 Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset - - Sep., 2023 Text-to-Video Generation Training-based TitlearXivGithubWeb...
013 (2023-11-28) VideoAssembler Identity-Consistent Video Generation with Reference Entities using Diffusion Model https://arxiv.org/pdf/2311.17338.pdf 014 (2023-11-28) Microstructure reconstruction of 2D/3D random materials via diffusion-based deep generative models ...
Diffusion Model+Anything！(扩散模型+任何东西！)2022年的下半年注定是扩散模型发展最为迅猛和关键的半年。在经过前一年的不懈探索后，扩散模型的理论研究逐渐平稳，研究的方向逐步转向了大规模的应用实践。在这半年，在这段时间里，我们见证了众多领域的突破性应用，包括但不限于：Image Restoration的爆发应用：...
博客地址:击败GANs的新生成式模型:score-based model(diffusion model)原理、网络结构、应用、代码、实验、展望 代码地址:GitHub - openai/guided-diffusion 4、条件分类器技术进一步发展:《Classifier-Free Diffusion Guidance》 推荐理由:我推荐的其他论文基本上都发表机器学习/计算机视觉顶会,而这篇文章虽然只发表于cvpr...
Diffusion-based T2V Methods (LLM guided) 文本的理解能力受限,论文链接,2023.8(证明了text质量的重要性) 【日出】 Make Pixels Dance首尾帧作为 condition,再继续根据文字生成中间的部分。生成质量有很大的改善。Submitted on18 Nov 2023[看好,但不开源] ...
Gradient-based optimizers may become numerically unstable due to the nonlinear and non-convex objective function. This issue worsens when considering contact, which leads to abrupt, non-smooth kinks in the stress response. Our model, inspired by generative video modelling, is particularly suited to ...