Chinas NewTEXT TO VIDEO AI SHOCKS The Entire Industry! New VIDU AI BEATS SORA! - Shengshu AI

Shang Shu Technology, a Chinese AI firm in collaboration with Ting University, has recently announced VIDU, China's first text-to-AI video model. VIDU is capable of generating high-definition 16-second videos at 1080P resolution with a single click, positioning itself as a competitor to Sora's text-to-video model. The model showcases an ability to understand and generate Chinese-specific content, such as pandas and dragons. The demo has received mixed reactions, but it is acknowledged that video generation is challenging, and VIDU's performance is impressive for a first-time system. The technology is seen as a significant step in China's ramping up of AI efforts, with VIDU potentially surpassing state-of-the-art models currently available. The architecture behind VIDU, proposed in September 2022, utilizes a Universal Vision Transformer (UViT), allowing for realistic videos with dynamic camera movements and detailed facial expressions. The advancements in AI video generation within a short span of time are remarkable, and the development is expected to intensify the global competition in AI technology.

Takeaways

• 📢 Shang Shu Technology, a Chinese AI firm, in collaboration with Ting University, has developed VIDU, China's first text-to-AI video model.
• 🎬 VIDU can generate high-definition, 16-second videos in 1080P resolution with a single click, positioning itself as a competitor to Sora.
• 🐉 VIDU is capable of understanding and generating content specific to Chinese culture, such as pandas and dragons.
• 🤖 The demonstration of VIDU's capabilities has received mixed reactions, but it showcases significant advancements in AI video generation.
• 📈 VIDU's performance is considered better than many current state-of-the-art models available for free, indicating a high level of achievement in the field.
• 🇨🇳 The announcement of VIDU reflects China's increasing efforts and success in AI technology, with recent advancements in robotics, vision systems, and language models.
• 📹 VIDU's video demonstrations, while potentially cherry-picked, still represent a significant leap in AI-generated video quality and consistency.
• 👥 VIDU's architecture, proposed in 2012, utilizes a Universal Vision Transformer (UViT), allowing for dynamic camera movements and detailed facial expressions.
• 🌐 The VIDU model's ability to create videos with adherence to physical world properties like lighting and shadows is a notable technological milestone.
• 🚀 The development and demonstration of VIDU signify a rapid acceleration in AI capabilities, with China potentially leading in this field.
• ⏳ VIDU's generation of AI videos is a game-changer, and its implications for the future of video content creation and the potential for an AI 'race' are significant.

Q & A

Which Chinese technology company recently announced a new text to video AI model?

Shang Shu technology, in collaboration with Ting University, announced China's first text to AI video model called VIDU.

What is the capability of VIDU in terms of video generation?

VIDU is capable of generating high-definition, 16-second videos in 1080P resolution with a single click.

How does VIDU position itself in the market?

VIDU is positioned as a competitor to OpenAI's Sora text-to-video model, with the ability to understand and generate Chinese-specific content.

What are the mixed reactions to the VIDU demo?

The VIDU demo has received mixed reactions due to various reasons, with some appreciating the advancements in AI technology, while others critique the quality and motion of the generated videos.

What is the significance of VIDU's ability to generate videos with dynamic camera movements and detailed facial expressions?

This signifies that VIDU is a state-of-the-art system that can create realistic videos adhering to physical world properties like lighting and shadows, which is a complex task in AI video generation.

How does VIDU's architecture differ from that of Sora?

VIDU utilizes a Universal Vision Transformer (UViT) architecture, which is different from the diffusion Transformer used by Sora, allowing VIDU to create more realistic and detailed videos.

What is the current state of Sora in terms of availability and usage?

Sora has not been released to the general public yet. It has been given to professionals in the film industry for use, where it reportedly takes about 10 to 20 minutes per render for clips up to a minute long.

How does the temporal consistency in VIDU's generated videos compare to other systems?

VIDU demonstrates good temporal consistency, with elements like moving bushes, trees, and waves appearing natural and in-sync, which is a significant achievement in AI video generation.

What are the implications of China's advancements in AI technology as showcased by VIDU?

China's advancements indicate a potential AI race and suggest that they are prioritizing technology development in this area, which could influence how other countries, like the US, approach AI development.

What is the general sentiment towards the quality of the videos generated by VIDU?

While some critics argue that the quality isn't up to par, others believe that VIDU's output is impressive, especially considering it's a first-generation system and that the shared videos may not be in their original high resolution.

How does the VIDU AI model compare to other state-of-the-art models in terms of technological advancement?

VIDU is considered to be at the state-of-the-art level, showing significant advancements in AI video generation. It surpasses other models in terms of motion and temporal consistency, indicating a potential shift in the competitive landscape of AI technology.

What are the future prospects of AI video generation technology like VIDU?

The future of AI video generation is likely to see more competition and technological advancements. VIDU's success suggests that we can expect further improvements and potentially an 'AI race' in terms of development and innovation in this field.

Outlines

00:00

🚀 Introduction to Shang Shu Technology's AI Video Model

The video script begins with a discussion about a recent announcement from Shang Shu Technology, a Chinese AI firm that has developed China's first text-to-AI video model in collaboration with Ting University. The model, named 'vidu', is capable of generating high-definition 16-second videos at 1080P resolution with a single click. It is presented as a competitor to the 'opening eyes Sora' text-to-video model, with a unique ability to understand and generate content specific to Chinese culture, such as pandas and dragons. The speaker expresses surprise and admiration for the demo, acknowledging the mixed reactions it has received. They also highlight the significance of China's advancements in AI, particularly in robotics, vision systems, and large language models, and suggest that the development of vidu represents a notable milestone in China's AI capabilities.

05:01

📊 Comparison of Vidu with Other AI Video Generators

The second paragraph delves into a comparison between Vidu and other AI video generators, specifically mentioning the 'opening eyes Sora' system. The speaker acknowledges that while some critics argue that Vidu's output isn't impressive, they argue that video generation is a complex task and that Vidu's performance is commendable. They point out that Vidu's demo showcases its ability to handle motion and detail, such as the movement of a skirt or a jacket in a walking sequence. The speaker also discusses the potential for Vidu to catch up to or even surpass Sora in future versions. They touch upon the importance of temporal consistency in video generation and how Vidu seems to handle this well, despite some visible artifacts possibly due to video compression and sharing. The paragraph concludes with a call to view the technology in higher resolution for a fair assessment.

10:01

🌐 The Global Impact of China's AI Advancements

The final paragraph of the script contemplates the global implications of China's advancements in AI, particularly in the field of video generation with Vidu. The speaker suggests that if a Western AI company had released a system like Vidu, it would be hailed as a significant achievement. They emphasize the importance of recognizing the progress made in AI, especially considering the short amount of time between developments. The speaker also discusses the technical architecture behind Vidu, which utilizes a Universal Vision Transformer (UViT) to create realistic videos with dynamic camera movements and detailed facial expressions. They highlight the temporal consistency and motion handling in Vidu's demonstrations, comparing it favorably to other systems like Runway Generation 2. The paragraph ends with speculation on the potential for an 'AI race' between China and the US, and the importance of continued development and innovation in AI technology.

Keywords

💡VIDU AI

VIDU AI refers to a text-to-video AI model developed by Shang Shu technology in collaboration with Ting University. It is a significant technological advancement in the field of artificial intelligence, capable of generating high-definition videos from text inputs. In the video's context, VIDU AI is positioned as a competitor to Sora and is highlighted for its ability to understand and generate content specific to Chinese culture, such as depictions of pandas and dragons.

💡Text-to-Video Model

A text-to-video model is an AI system that converts written text into video content. VIDU AI, as mentioned in the transcript, is an example of such a model, which can create 16-second videos in 1080P resolution with a single click. This technology is revolutionary for content creation, as it simplifies the process of turning scripts or concepts into visual narratives.

💡High-Definition (1080P)

High-definition, often abbreviated as HD, refers to a level of video quality that is substantially higher than earlier standards. The '1080P' specifically denotes a resolution of 1920x1080 pixels, which is one of the common HD resolutions. In the script, VIDU AI's ability to generate high-definition videos is emphasized, showcasing the model's advanced capabilities.

💡Competitor

In the context of the video, a competitor refers to another product, service, or company that provides a similar offering. VIDU AI is described as a competitor to Sora, indicating that both are text-to-video AI models vying for market share and recognition in the AI industry.

💡Chinese Specific Content

This phrase refers to content that is tailored to or represents elements unique to Chinese culture. The VIDU AI model is noted for its ability to generate videos that include culturally specific symbols such as pandas and dragons, which are iconic and nationally recognized elements in China.

💡Temporal Consistency

Temporal consistency in video generation refers to the smooth and coherent transition of visual elements over time, ensuring that the motion appears natural and seamless. The transcript mentions that VIDU AI demonstrates good temporal consistency, which is crucial for creating realistic and believable video content.

💡State-of-the-Art

State-of-the-art is a term used to describe the highest level of development or most advanced stage in a particular field. The video discusses VIDU AI and other Chinese AI developments as being state-of-the-art, indicating that they are at the cutting edge of current technology in AI.

💡Universal Vision Transformer (UViT)

UViT is an architectural framework used in AI models for image and video processing. VIDU AI utilizes a UViT architecture, which allows it to create videos with dynamic camera movements and detailed facial expressions that adhere to physical world properties such as lighting and shadows. This architecture is a key factor in VIDU AI's ability to produce high-quality videos.

💡AI Race

The term 'AI race' is used to describe the competitive development and advancement in the field of artificial intelligence between different countries or entities. The video suggests that China's advancements in AI technologies may prompt other nations, such as the USA, to accelerate their own AI developments, thus contributing to an 'AI race'.

💡Cherry-Picking

Cherry-picking in the context of AI demonstrations refers to the selection of specific examples or results that are most favorable to showcase the capabilities of the technology. The script mentions that some critics argue that the demonstrations of VIDU AI are cherry-picked to present the best outcomes, which is a common practice in showcasing AI capabilities.

💡Dynamic Camera Movements

Dynamic camera movements describe the ability of a video generation system to simulate the movement of a camera in a way that mimics real-world cinematography. VIDU AI's use of UViT allows it to create videos with dynamic camera movements, adding a level of realism and depth to the generated content.

Highlights

Shang Shu Technology and Ting University have developed China's first text-to-AI video model, VIDU.

VIDU can generate high-definition, 16-second videos in 1080P resolution with a single click.

VIDU is positioned as a competitor to OpenAI's Sora text-to-video model with a focus on Chinese-specific content.

The demo of VIDU showcases its ability to generate videos that are surprisingly detailed and consistent.

Despite mixed reactions, the presenter believes VIDU is a significant improvement over current state-of-the-art models.

China's advancements in AI, including robotics and large language models, are seen as a ramping up of efforts in the field.

VIDU's demonstrations are considered by some to be cherry-picked, but are defended as typical for AI generation showcases.

The VIDU trailer includes clips that directly compare VIDU's output to that of OpenAI's Sora, emphasizing its competitive edge.

VIDU's architecture, proposed in September 2022, utilizes a Universal Vision Transformer (UViT) for realistic video generation.

The VIDU model demonstrates advanced temporal consistency and motion handling, which is a significant achievement in AI video generation.

Critics argue that VIDU's quality may not be as high as initially presented due to the lossy nature of video sharing online.

The presenter suggests that VIDU's capabilities are underappreciated due to its current unavailability and comparison to existing systems like Sora.

VIDU's development is seen as a potential game-changer in the AI video generation industry.

The presenter speculates on the future of AI development, suggesting a possible AI race between China and the US.

VIDU's advancements are indicative of China's rapid progress in AI technology, potentially influencing global priorities and development strategies.

The presenter emphasizes the importance of unbiased evaluation of VIDU's technology, considering the rapid pace of advancements in AI.

The comparison between VIDU and other state-of-the-art systems like Runway Gen 2 highlights VIDU's superior motion and consistency.