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Shanghai Step Star Intelligent Technology Co., Ltd. has announced the open-source release of its latest text-to-video model, Step-Video-TI2V. Trained on a 30B parameter Step-Video-T2V model, it generates 102-frame, 5-second videos at 540P resolution. Key features include controllable motion amplitude and camera movement, performing particularly well in generating anime-style videos.

Artificial intelligence is disrupting the content creation industry at an unprecedented rate. Once the exclusive domain of resource-rich film studios, production houses, and media giants, high-quality content production is being democratized. Recently, AI-powered video editing platform OpusClip secured $20 million in funding from SoftBank Vision Fund 2, boosting its valuation to $215 million. This significant investment clearly signals a rewriting of the rules for digital content creation and distribution. As an AI video editing platform, OpusClip...

Tencent has announced the open-sourcing of its newly developed image-to-video generation framework, HunyuanVideo-I2V. This release follows the successful open-sourcing of HunyuanVideo and aims to further advancements within the open-source community. HunyuanVideo-I2V incorporates cutting-edge video generation technology, enabling the transformation of static images into dynamic video content, offering creators expanded possibilities. HunyuanVideo-I2V leverages a pre-trained...

Recently, Tencent's Hunyuan Video Model has officially begun recruiting testing partners on Platform X, marking a critical testing stage for this cutting-edge AI video generation technology. According to official sources, there is a high probability that the model will be open-sourced after the testing concludes, contributing its technological achievements to the global AI community. The Hunyuan Video Model is an important innovation by Tencent in the field of AI video generation, boasting over 13B parameters, making it one of the largest video generation models among open-source models.

The AI video field welcomes a game-changing new product! Recently, Google's latest AI video model, Veo 2, was officially released and chose the well-known material platform Freepik for its global debut. This launch not only marks another significant breakthrough in Google's AI video technology but also comes with the exciting news that the first 10,000 users can experience this 'black technology' for free, undoubtedly delivering a substantial benefit to video creators! According to official tweets, Veo 2 is hailed as Google's...

Beijing TuSimple Technology Co., Ltd. has officially changed its name to CreateAI. This rebranding comes alongside the announcement of several significant advancements in the generative AI field, marking its ambitious plans to apply generative AI technology in the animation and video game industries. Additionally, CreateAI announced that it has acquired the official licensing rights to the renowned wuxia intellectual property 'The Legend of the Condor Heroes' and plans to develop a large-scale open-world RPG game. Furthermore, the company will collaborate with notable animation director Masashi Hoshino and leading animation production company Hashimoto Co., Ltd. to utilize AIGC.

Beijing TuSimple Technology Co., Ltd. officially launched its first 'Image-to-Video' large model - 'Ruyi' on December 17, 2024, and has made the Ruyi-Mini-7B version open source for users to download from the huggingface platform. TuSimple was founded in 2015 and is headquartered in San Diego, California, focusing on the application of AI technology across various industries, including animation gaming and transportation.

Since OpenAI first previewed its text-to-video AI model Sora in February this year, no specific updates have been provided. Recently, a group of testing artists involved with OpenAI's new text-to-video AI model Sora leaked early access to the model due to their dissatisfaction with the company. They released a project related to the Sora API on the AI development platform Hugging Face, using an early access authentication token to create.

Recently, researchers from ByteDance Research Institute and Tsinghua University jointly released a new study, pointing out that current AI video generation models, such as OpenAI's Sora, while capable of creating stunning visual effects, have significant flaws in understanding basic physical laws. This study has sparked widespread discussion on the capabilities of AI in simulating reality. The research team tested AI video generation models under three different scenarios: predictions under known patterns and predictions under unknown patterns.

Today, the Zhipu Technology team released its latest video generation model, CogVideoX v1.5, and made it open source. This version is another significant advancement in the CogVideoX series launched by the Zhipu Technology team since August. The update greatly enhances video generation capabilities, including support for 5-second and 10-second video lengths, 768P resolution, and the ability to generate 16 frames. Additionally, the I2V (Image-to-Video) model supports arbitrary aspect ratios, further improving the understanding of complex semantics.

Kuaishou, Peking University, and Beijing University of Posts and Telecommunications have joined forces to unveil a groundbreaking technological achievement—the Pyramid-Flow high-definition video model. This open-source project has made significant breakthroughs in the field of AI-generated video, bringing new possibilities to the industry. The Pyramid-Flow model demonstrates remarkable capabilities, generating high-quality videos of up to 10 seconds in length, with a resolution of 1280x768 and a frame rate of 24fps, using only text input. It excels in light and shadow effects, motion continuity, overall image quality, and text interpretation.

Recently, OpenAI has caused a stir in the video AI field as they are set to make significant upgrades to Sora, which was released in February of this year. According to reports from the Information Daily, the main goal of this upgrade is to significantly enhance Sora's performance, enabling it to generate longer and higher quality video content more quickly. Reflecting on the initial performance of Sora, there were indeed many pressing issues that needed addressing. The original version took over 10 minutes to generate a video, an efficiency level that clearly fails to meet practical application needs.