With the rapid development of artificial intelligence technology, AI applications in the field of multimedia creation are becoming increasingly widespread. Among them, AI-generated video technology is gradually emerging, bringing unprecedented convenience to video production. From automatic editing and special effects addition to intelligent dubbing and subtitle generation, even the technology of automatically generating videos through AI is gradually changing the traditional video production process. Therefore, the saying ‘seeing is believing, hearing is true’ may be broken by these AI-generated tools in the near future.
01 First-tier Runway Company Profile
AI algorithms can automatically generate corresponding visual scenes and dynamic images based on text. On the other hand, Pika supports uploading static images as materials and transforming these images into dynamic videos. Advantages: After video generation, Pika offers technical support such as video element editing, style transformation, size adjustment, visual effect optimization, and Lip Sync (lip synchronization), adding voice dialogue to the characters in the video. By adding appropriate motion, transition effects, and possible additional elements, the content of the video can be fine-tuned and controlled. Achieving precise lip-sync animation effects that match the spoken content. Disadvantages: Currently, there are still too many uncontrollable factors in the video, and it can only generate videos up to 7 seconds long. The precision and fidelity of the generated videos are also not ideal. Usage Scenarios: Pika currently supports the generation of 4-second length videos, and the operation is simple, with no usage threshold for beginners. However, given that the generated video is limited to a length of 4 seconds, the output is not sufficient to support the value demand of the video. Videos generated through Pika require manual post-processing and can only become complete and valuable content through current editing and post-production methods. Experience URL: https://pika.art/03 Stability AI, a company that has not yet monetized, was founded in 2020 and quickly rose to prominence, announcing on October 17, 2022, that it had raised $101 million in financing, with a valuation reaching an astonishing $1 billion, becoming one of the unicorns in the tech industry. Product Features: Stable Video Diffusion, developed by Stability AI, is an open-source AI video generation tool built on a stable diffusion image model, capable of converting text and image inputs into vivid scenes and applying them to live-action film creation. It is suitable for video applications in media, entertainment, education, and marketing. Usage Scenarios: The model is currently only released in a research version, mainly for collecting feedback on safety and quality to facilitate future improvements and official releases. It supports multi-perspective synthesis of a single image and can be fine-tuned for various downstream tasks through micro-adjustments to multi-view datasets. In addition, Stability AI also claims to develop a series of new models based on this foundational model to build an ecosystem similar to stable diffusion. Advantages: Stable Video Diffusion can generate videos with 14 to 25 frames, with a customizable frame rate between 3 and 30 frames per second, and the processing time usually does not exceed 2 minutes.
On this premise, Stability AI offers a non-commercial community license, allowing users to freely utilize the model for research and other non-commercial purposes. Drawback: The application of features is slightly complex, requiring users to understand the video’s shot composition and lighting, which is somewhat different from the AI automatic generation expected in most cases. Experience website: https://www.stablevideo.com/04
Tencent Zhiying, accepted by the market, was released in March 2023 as an internal startup within Tencent. The main team was the backbone of the Weishi publisher, with considerable experience in the technology and commercial use of short video editing. As of March 2024, Tencent Zhiying has opened paid premium memberships, supporting the generation of digital human video duration and professional tone text-to-speech services. In addition, it offers intelligent subtitles, format conversion, and more for video editing, addressing the pain points of video editing. Product features: Tencent Zhiying’s main function is cloud-based video editing, driven by AI technology, including digital human reporting, text-to-speech, article-to-video conversion, automatic subtitle generation, intelligent watermark removal, video commentary, and horizontal and vertical screen conversion. Advantages: The modularity of the functions is excellent, easy to use, with high vertical function efficiency and fast output. Services are provided through the SaaS model, supporting users to create and collaborate on video online through a browser, reducing the threshold for video commercial use. Drawback: Text-generated images, assisted by AI editing, can only produce basic video content. With the current expectations for AI, Tencent Zhiying is essentially out of the running in terms of technological prospects compared to the first tier. Usage scenarios: Tencent Zhiying provides a one-stop video creation tool with video editing and material libraries, which can be used for efficient production of professional-level video content. The platform also supports team collaboration features such as version management, permission control, and online comments, facilitating collaborative work among multiple people and quickly sharing the finished product on social media, improving work efficiency and content distribution efficiency, which is very helpful for short-term monetization. Experience link: https://zenvideo.qq.com/05 Sora, a company card yet to be implemented, is an artificial intelligence text-to-video large model released by OpenAI. OpenAI is a multinational technology company dedicated to artificial intelligence research and development, founded in December 2015 by a group of Silicon Valley entrepreneurs and headquartered in San Francisco, USA. Initially, OpenAI was set up as a non-profit organization aimed at promoting the development of artificial intelligence for the benefit of all humanity, without the constraints of financial returns.Subsequently, OpenAI established a for-profit subsidiary, OpenAI Global, through which it secured substantial investments, including billions of dollars from Microsoft.
Sora’s product features include a Transformer architecture similar to the GPT model, combined with the characteristics of the Diffusion model, enabling it to handle long-sequence data and capture dependencies within the data through self-attention mechanisms, thereby enhancing the quality and diversity of generated videos. At its initial announcement, Sora claimed the ability to generate videos that fully comply with real-world physics. Advantages: By integrating real-world physics into one-minute videos, Sora aids in the positive development of industries such as advertising, film, special effects, and scientific research. Disadvantages: Sora’s understanding of physics is still flawed and not as perfect as officially claimed; the continuity and consistency of generated video frames are unstable. Usage scenarios: Sora inherits the image quality and instruction-following capabilities of DALL-E 3, enabling the generation of videos with multiple characters, specific movements, and complex scenes, while understanding and adhering to user text prompts to maintain video consistency, coherence, and plausibility. Additionally, Sora can generate videos from static images, extend and fill in missing frames in existing videos, and connect videos with different themes and scenes. Currently, Sora is used within a small circle, with only invited professional teams able to participate in its actual use. Website: https://openai.com/sora06 Seeing the Truth through AI’s Fiction Now, through AI models such as Stable Video Diffusion and Sora, creators can quickly convert text or images into video content, saving a significant amount of time and effort and greatly improving the efficiency and quality of content creation. This is applicable not only to creative industries like advertising, gaming, and film but also Secondly, the development of AI video generation technology will also promote the production of personalized and customized content. Users can generate video content that meets their expectations through simple text descriptions or by selecting specific images, making content consumption more personalized and catering to the needs of different user groups. However, the development of AI video generation technology also comes with a series of challenges. On one hand, ensuring the quality and authenticity of generated content is an important issue.AI-generated videos have the potential to mislead viewers, particularly in critical domains such as politics and news, necessitating the establishment of stringent review mechanisms and content quality control systems.
On the other hand, AI video generation technology may also trigger copyright issues. When AI models can easily replicate and imitate existing video content, the ‘fake’ created by AI will challenge the ‘authenticity’ of human creation, making the definition of originality and intellectual property rights more complex.
