|
- Video-R1: Reinforcing Video Reasoning in MLLMs - GitHub
Video-R1 significantly outperforms previous models across most benchmarks Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-R1-7B achieves a new state-of-the-art accuracy of 35 8%, surpassing GPT-4o, a proprietary model, while using only 32 frames and 7B parameters This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the
- Wan: Open and Advanced Large-Scale Video Generative Models
Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2 1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation Wan2 1 offers these key features:
- Troubleshoot YouTube video errors - Google Help
Check the YouTube video’s resolution and the recommended speed needed to play the video The table below shows the approximate speeds recommended to play each video resolution
- GitHub - Lightricks LTX-Video: Official repository for LTX-Video
LTX-Video is the first DiT-based video generation model that can generate high-quality videos in real-time It can generate 30 FPS videos at 1216×704 resolution, faster than it takes to watch them The model is trained on a large-scale dataset of diverse videos and can generate high-resolution videos with realistic and diverse content The model supports image-to-video, keyframe-based
- YouTube Help - Google Help
Learn more about YouTube YouTube help videos Browse our video library for helpful tips, feature overviews, and step-by-step tutorials YouTube Known Issues Get information on reported technical issues or scheduled maintenance
- GitHub - wxbool video-srt-windows: 这是一个可以识别视频语音自动生成字幕SRT文件的开源 Windows . . .
这是一个可以识别视频语音自动生成字幕SRT文件的开源 Windows-GUI 软件工具。 Contribute to wxbool video-srt-windows development by creating
- GitHub - kijai ComfyUI-WanVideoWrapper
Contribute to kijai ComfyUI-WanVideoWrapper development by creating an account on GitHub
- HunyuanVideo: A Systematic Framework For Large Video . . . - GitHub
HunyuanVideo introduces the Transformer design and employs a Full Attention mechanism for unified image and video generation Specifically, we use a "Dual-stream to Single-stream" hybrid model design for video generation In the dual-stream phase, video and text tokens are processed independently through multiple Transformer blocks, enabling each modality to learn its own appropriate
|
|
|