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A machine learning-based video super resolution and frame interpolation framework Est Hack the Valley II, 2018 - k4yt3x video2x
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This work presents Video Depth Anything based on Depth Anything V2, which can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher
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GitHub is where people build software More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects
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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:
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Veo 3 is Google DeepMind’s latest AI-powered video generation model, introduced at Google I O 2025 It enables users to create high-quality, 1080p videos from simple text or image prompts, integrating realistic audio elements such as dialogue, sound effects, and ambient noise
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Official repository for LTX-Video Contribute to Lightricks LTX-Video development by creating an account on GitHub
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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
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Run an internet speed test to make sure your internet can support the selected video resolution Using multiple devices on the same network may reduce the speed that your device gets You can also change the quality of your video to improve your experience Check the YouTube video’s resolution and the recommended speed needed to play the video The table below shows the approximate speeds
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