<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Video Color Chart</title><link>http://www.bing.com:80/search?q=Video+Color+Chart</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Video Color Chart</title><link>http://www.bing.com:80/search?q=Video+Color+Chart</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>Wan: Open and Advanced Large-Scale Video Generative Models</title><link>https://github.com/Wan-Video/Wan2.1</link><description>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:</description><pubDate>Tue, 13 May 2025 23:59:00 GMT</pubDate></item><item><title>Wan: Open and Advanced Large-Scale Video Generative Models</title><link>https://github.com/Wan-Video/Wan2.2</link><description>Visit their webpage for more details. LightX2V, a lightweight and efficient video generation framework that integrates Wan2.1 and Wan2.2, supporting multiple engineering acceleration techniques for fast inference. LightX2V-HuggingFace, offers a variety of Wan-based step-distillation models, quantized models, and lightweight VAE models.</description><pubDate>Thu, 28 Aug 2025 09:56:00 GMT</pubDate></item><item><title>GitHub - k4yt3x/video2x: A machine learning-based video super ...</title><link>https://github.com/k4yt3x/video2x</link><description>A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x</description><pubDate>Thu, 02 Apr 2026 11:29:00 GMT</pubDate></item><item><title>YouTube Help</title><link>https://support.google.com/youtube/?hl=en</link><description>Official YouTube Help Center where you can find tips and tutorials on using YouTube and other answers to frequently asked questions.</description><pubDate>Thu, 02 Apr 2026 11:15:00 GMT</pubDate></item><item><title>Troubleshoot YouTube video errors - Google Help</title><link>https://support.google.com/youtube/answer/3037019?hl=en</link><description>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.</description><pubDate>Thu, 02 Apr 2026 09:13:00 GMT</pubDate></item><item><title>Find videos in Search - Google Help</title><link>https://support.google.com/websearch/answer/11216447?hl=en</link><description>You can find video results for most searches on Google Search. To help you find specific info, some videos are tagged with Key Moments. Key Moments work like chapters in a book to help you find the info you want. Important: Key Moments are added by video creators, or in some cases Google may detect the content and add Key Moments automatically.</description><pubDate>Thu, 02 Apr 2026 10:10:00 GMT</pubDate></item><item><title>Rechercher des vidéos sur Google - Aide Recherche Google</title><link>https://support.google.com/websearch/answer/11216447?hl=fr</link><description>Rechercher et utiliser des temps forts dans une vidéo Important : Les temps forts ne sont pas disponibles dans certaines vidéos. Si aucun temps fort n'est indiqué, il est possible que cette fonctionnalité ne soit pas activée pour cette vidéo.</description><pubDate>Wed, 01 Apr 2026 11:09:00 GMT</pubDate></item><item><title>Video-R1: Reinforcing Video Reasoning in MLLMs - GitHub</title><link>https://github.com/tulerfeng/Video-R1</link><description>Our Video-R1-7B obtain strong performance on several video reasoning benchmarks. For example, Video-R1-7B attains a 35.8% accuracy on video spatial reasoning benchmark VSI-bench, surpassing the commercial proprietary model GPT-4o.</description><pubDate>Tue, 02 Dec 2025 23:54:00 GMT</pubDate></item><item><title>GitHub - Lightricks/LTX-Video: Official repository for LTX-Video</title><link>https://github.com/Lightricks/LTX-Video</link><description>Official repository for LTX-Video. Contribute to Lightricks/LTX-Video development by creating an account on GitHub.</description><pubDate>Mon, 30 Mar 2026 21:41:00 GMT</pubDate></item><item><title>GitHub - deepbeepmeep/Wan2GP: A fast AI Video Generator for the GPU ...</title><link>https://github.com/deepbeepmeep/Wan2GP</link><description>A fast AI Video Generator for the GPU Poor. Supports Wan 2.1/2.2, Qwen Image, Hunyuan Video, LTX Video and Flux. - deepbeepmeep/Wan2GP</description><pubDate>Wed, 01 Apr 2026 08:39:00 GMT</pubDate></item></channel></rss>