New AI Video Goes Hard At Open AI!

Theoretically Media
29 Apr 202411:15

TLDRThe video discusses a new AI video generator named 'Vu', developed by Shinu Technology and Singua University, which is a potential competitor to the yet-to-be-released Sora. Vu can generate clips up to 16 seconds at 1080p and is based on the Universal Video Transformer (UViT) architecture, which combines Vision Transformers and U-Net models for improved image generation and temporal coherence. The video showcases several examples of Vu's output, comparing them to Sora's, and notes that while Vu's results are impressive, they may not be as detailed as Sora's. The speaker also discusses the potential for using AI-generated imagery in full production processes, referencing a short film made using Sora. A sign-up link for Vu is mentioned, but it appears to be temporarily broken due to high demand.

Takeaways

  • 🎬 A new AI video generator called 'Vu' is being compared to the yet-to-be-released Sora model.
  • πŸ“Ή Vu can generate video clips up to 16 seconds at 1080p resolution, with a focus on temporal coherence.
  • πŸ” The architecture of Vu is based on Universal Video Transformer (UvIT), which combines Vision Transformers and U-Net for image generation.
  • πŸ€– UvIT treats different aspects of video as tokens and uses long skip connections to maintain coherence between frames.
  • πŸ“Ί A sizzle reel showcasing Vu's capabilities was released, with clips that directly reference Sora's initial video release.
  • 🌟 The quality of Vu's output is considered good but not mind-blowingly superior to Sora, with some visual details not as refined.
  • πŸŽ“ The script discusses the technical aspects of UvIT, including DPM solver and the 'All Are Worth Words' paper, which are foundational to its design.
  • πŸ“½ Examples of longer 16-second clips from Vu are provided, demonstrating its ability to generate coherent video sequences.
  • 🎼 A humorous observation is made regarding AI-generated content featuring bears playing guitars, indicating a trend or fascination in AI research.
  • 🌊 A comparison is made between Vu and Sora, highlighting the strengths and weaknesses of each model in terms of realism and video generation.
  • πŸš€ The potential for using AI video generation in full production processes is discussed, with examples of how it can be integrated with traditional post-production techniques.
  • πŸ“ The script concludes with information on how to sign up for Vu, despite a temporary issue with the sign-up button on their website.

Q & A

  • What is the name of the new AI video generator mentioned in the transcript?

    -The new AI video generator mentioned is called 'Vu', developed by Shinu technology and Singua University.

  • What is the maximum duration and resolution that the 'Vu' AI video generator can produce?

    -The 'Vu' AI video generator can produce clips up to 16 seconds at 1080p resolution.

  • What is the architecture of the 'Vu' AI video generator based on?

    -The architecture of 'Vu' is based on UID, or Universal Video Transformer, which is a combination of two separate papers: DPM Solver and 'All Are Worth Words'.

  • How does the 'Vu' AI video generator differ from Sora in terms of video generation?

    -Unlike Sora, which creates videos in temporal spaces, 'Vu' has an in and an out point and utilizes long skip connections, allowing it to chart a path between the first and last frame of the video.

  • What is the significance of the 'Vu' AI video generator treating everything as tokens?

    -Treating everything as tokens allows 'Vu' to handle various elements and conditions more effectively, providing a more coherent and predictable video generation process.

  • How does the 'Vu' AI video generator handle transitions between frames?

    -The 'Vu' AI video generator figures out the transitions between frames by utilizing its long skip connections, which helps maintain temporal coherence throughout the video.

  • What is the significance of the Sizzle reel mentioned in the transcript?

    -The Sizzle reel is a promotional video that showcases the capabilities of the 'Vu' AI video generator, featuring clips that directly reference the initial Sora video release.

  • What are some of the challenges faced by AI video generators like 'Vu' and Sora?

    -Challenges include maintaining temporal coherence, generating detailed and realistic visuals, and creating a seamless transition between frames without hallucination or warping effects.

  • How does the 'Vu' AI video generator compare to Sora in terms of realism and aesthetics?

    -While 'Vu' produces good quality videos, Sora tends to create more action and detail in its visuals. However, 'Vu' has a unique aesthetic that some might find appealing, and both generators require post-production work to achieve a consistent look.

  • What is the process for obtaining access to the 'Vu' AI video generator?

    -As of the recording, there is a signup link on the 'Vu' website, although the submit button appears to be broken at the time, possibly due to high demand.

  • How can the 'Vu' AI video generator be utilized in creative projects?

    -The 'Vu' AI video generator can be used to create compelling imagery for films, advertisements, and other visual media. It can be integrated with other tools and techniques for post-production to enhance the final output.

  • What are some of the future plans for AI video generators like 'Vu'?

    -Future plans may include integration with professional editing software, improvements in video quality and coherence, and the development of more advanced models to handle complex video generation tasks.

Outlines

00:00

πŸš€ Introduction to a Potential Sora Rival: Vu

The video introduces a new AI video generator named Vu, which is seen as a potential competitor to Sora, despite Sora not being released yet. The presenter discusses the possibility of Vu being used before Sora and shares a signup link for it. Vu is developed by Shinu technology and Singua University and is based on the Universal Video Transformer (UViT) architecture, which combines Vision Transformers and U-Net models to generate high-quality video clips. The video showcases a Sizzle reel and longer 16-second clips, emphasizing the temporal coherence and detailed visuals produced by Vu.

05:02

πŸŽ₯ Analyzing Vu's Video Outputs and Comparison with Sora

The presenter provides a detailed analysis of several 16-second video clips generated by Vu, noting their temporal coherence and the aesthetic appeal of the models used. Comparisons are made with Sora, highlighting that while Sora's outputs are often more detailed, Vu's videos are still impressive and maintain a consistent look throughout the clips. The video also touches on the potential for AI-generated content to be used in full production processes, referencing the use of Sora in the short film 'Airhead' and the extensive post-production work required to achieve a polished final product.

10:05

πŸ“š Post-Production and Future of AI Video Generation

The video concludes with a discussion on the post-production process for AI-generated content, emphasizing the human effort required to refine the AI's output into a final product. It mentions a VFX breakdown by Paul Trello, who used AI tools for his short film 'Notes to My Future Self'. The presenter also provides a signup link for Vu, noting that the system might be temporarily overwhelmed, and hints at an upcoming interview with Adobe regarding Sora's integration into Premiere and future plans for After Effects.

Mindmap

Keywords

Sora

Sora refers to an AI video generation model that is yet to be released but has already garnered attention for its potential capabilities. In the video, Sora is compared to the new AI video generator 'Vu', which is trying to compete with or even surpass Sora's quality. The term 'Sora killer' is used to imply that 'Vu' might be a superior or at least a strong contender against Sora.

Vu

Vu is a new AI video generator developed by Shinu technology and Singua University, capable of generating video clips up to 16 seconds at 1080p resolution. It is highlighted as a potential competitor to Sora, with the video showcasing its ability to create temporally coherent clips, which is a significant aspect when comparing it to Sora.

Universal Video Transformer (UvIT)

UvIT stands for Universal Video Transformer, which is the architecture that the new AI video generator 'Vu' is based on. It is a combination of Vision Transformers, which are adept at analyzing images, and a Unet model, which is proficient in generating images. UvIT treats various elements as tokens and uses long skip connections, allowing it to understand the relationship between the first and last frames of a video.

Diffusion Models

Diffusion models are a type of machine learning model used for generating data, such as images or videos, by gradually adding noise to data and then learning to reverse the process. In the context of the video, the DPM Solver paper is mentioned as helping diffusion models make better predictions for future generations, which is integral to the functionality of UvIT.

Temporal Coherence

Temporal coherence refers to the consistency of a sequence of images or frames over time, ensuring that the transitions between frames are smooth and logical. The video discusses how 'Vu' maintains temporal coherence, unlike some traditional AI video generators that may result in 'hallucinatory' or 'warpy' outputs due to a lack of understanding of the sequence's direction.

Sizzle Reel

A sizzle reel is a short, promotional video that showcases the best moments or highlights of a project to generate interest. In the script, the sizzle reel for 'Vu' is mentioned to highlight the capabilities of the AI video generator, although it does not show full 16-second clips.

Post-Production

Post-production refers to the stages of production that occur after the principal photography or recording has been completed. The video discusses the extensive post-production work required to clean up and refine AI-generated footage, such as that produced by Sora, to achieve a polished final product.

AI Video Generation

AI video generation is the process of using artificial intelligence to create video content. The video script discusses the advancements in this field, particularly with the introduction of 'Vu', which is capable of generating high-quality, temporally coherent video clips.

Sign-up Link

A sign-up link is a URL that allows users to register or sign up for a service or to gain access to a product. In the context of the video, the presenter mentions a sign-up link for 'Vu', indicating that users can potentially access and use the AI video generator.

V4 Model

The V4 model is mentioned as a favorite model of the video's presenter, characterized by a surreal aesthetic. It is used as a point of comparison for the visual quality of the AI-generated clips, suggesting that the output of 'Vu' has a similar appealing quality.

Dissolve

In video editing, a dissolve is a transition effect that gradually changes one scene into another by slowly fading out the first scene while simultaneously fading in the second. The video script describes an example where 'Vu' showcases an interesting dissolve between shots, which is a technique also observed in Sora's outputs.

Highlights

A new AI video generator, potentially capable of surpassing Sora, has been unveiled.

The AI can generate clips up to 16 seconds at 1080p resolution.

The model, developed by Shinu technology and Singua University, targets the Sora video generation market.

Vid's architecture is based on the Universal Video Transformer (UvIT), combining vision transformers and U-Net models.

UvIT treats all aspects of video as tokens and utilizes long skip connections for coherence.

Vid's output quality is highly coherent and detailed, though not as exceptional as Sora's.

A full 16-second clip of Vid output references the TV screens from Sora's initial hype reel.

Vid maintains temporal coherence and detailed visuals, similar to the V4 model.

A 16-second clip featuring a panda playing guitar showcases Vid's ability to generate coherent backgrounds and shadows.

Vid demonstrates the ability to handle transitions and dissolves between shots.

An imaginative example of a ship in a bedroom shows Vid's capacity for 3D model-like interactions.

A side-by-side comparison with Sora shows Vidu's strengths in camera movement and environment realism.

Vidu's Tokyo walk sequence, though short, appears to be fairly comparable to Sora's model.

Sora's video generation still requires significant post-production work to achieve consistency.

AI video generation technology can be used to create compelling imagery, as demonstrated by Paul Trello's VFX breakdown.

Vidu has a sign-up link on their website, although the submit button may be temporarily non-functional due to high traffic.

Adobe's integration of Sora into Premiere and future plans for After Effects are discussed in an exclusive interview.