New AI Video Goes Hard At Open AI!

Theoretically Media
29 Apr 202411:15

TLDRThe video discusses a new AI video generator called 'Vu', which is positioned as a potential competitor to the yet-to-be-released Sora model. Vu is developed by Shinu Technology and Singua University and can generate 16-second clips at 1080p resolution. The architecture of Vu is based on the Universal Video Transformer (UvIT), which combines Vision Transformers with a U-Net model for image generation. The video showcases several examples of Vu's output, comparing them to Sora's, and notes that while Sora's visuals are more detailed, Vu's temporal coherence and consistency are impressive. The video also touches on the challenges of creating realistic AI-generated videos and the post-production work required to refine them. A signup link for Vu is mentioned, but it appears to be temporarily broken due to high demand.

Takeaways

  • 🎬 A new AI video generator named 'Vu' has been introduced, which is capable of generating clips up to 16 seconds at 1080p.
  • 🚀 The architecture of Vu is based on the Universal Video Transformer (UvIT), which combines Vision Transformers and U-Net for better image generation.
  • 📚 UvIT treats all elements, including time and conditions, as tokens and uses long skip connections to maintain temporal coherence.
  • 📺 The Sizzle reel for Vu includes direct references to Sora, another AI video generator, indicating a competitive approach.
  • 📸 Vu's video outputs showcase temporal coherence and detailed visuals, although not as detailed as Sora's initial outputs.
  • 🎼 A 16-second clip of a TV screen in Vu demonstrates the model's ability to maintain consistency and coherence over time.
  • 🎸 Another clip features a panda bear playing a guitar, showing the model's creativity and ability to generate imaginative scenarios.
  • 🌊 A beach vacation villa clip highlights Vu's capacity for creating transitions and maintaining consistency across different shots.
  • 🚢 A ship in a bedroom video demonstrates how Vu can generate objects that interact with their environment, such as the boat moving with the water.
  • 📽 A comparison between Vu and Sora shows that while Sora may have more detailed action, Vu creates a realistic environment.
  • 🎥 The script discusses the effort required to clean up AI-generated footage for a professional look, emphasizing the role of human post-production.
  • 🔗 There is a sign-up link available for Vu, although it might be temporarily unavailable due to high demand.

Q & A

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

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

  • What is the maximum length of the video clips that the new AI video generator can produce?

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

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

    -The architecture of the new AI video generator 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 Universal Video Transformer (Uvit) treat different elements in a video?

    -Uvit treats everything, from time to specific conditions, as tokens and utilizes long skip connections, allowing it to maintain coherence between the first and last frames of the video.

  • What is the main difference between the video generation approach of Sora and the new AI video generator (Vu)?

    -Sora creates videos by generating temporal spaces, whereas Vu has an in and an out point and figures out the transitions between them, resulting in a more coherent video generation process.

  • What is the significance of the longer runtime examples provided in the transcript?

    -The longer runtime examples demonstrate the capabilities of the new AI video generator in maintaining temporal coherence and generating detailed visuals, which are important aspects when evaluating the quality of AI-generated videos.

  • How does the new AI video generator handle transitions between different video frames?

    -The new AI video generator, Vu, uses long skip connections to understand the relationship between the first and last frames, allowing it to chart a path between them and handle transitions more effectively.

  • 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 new AI video generator. It includes direct references to the initial Sora video release, indicating that Vu is aiming to compete with or surpass Sora's quality.

  • What are some of the challenges faced by AI video generators in creating realistic and coherent videos?

    -Challenges include maintaining temporal coherence, generating detailed and realistic visuals, and avoiding 'hallucinatory' or 'warpy' effects that can occur when the AI does not have a clear understanding of the video's direction.

  • How does the new AI video generator compare to Sora in terms of video quality and realism?

    -While the new AI video generator, Vu, produces high-quality videos, it does not quite match the exceptional quality of Sora's best outputs. However, it is noted that Sora's initial videos were the exception rather than the rule, and Vu still offers impressive results.

  • What is the current status of the sign-up link for the new AI video generator?

    -As of the time of the transcript recording, the sign-up link on the new AI video generator's website appears to be broken, possibly due to high traffic. It is suggested to try again after a day or two if it does not work.

  • How can the new AI video generator be utilized in practical applications?

    -The new AI video generator can be used to create compelling imagery for various purposes, such as in film production, where it can generate AI imagery into which actors are inserted, and then further enhanced with post-production techniques like editing, sound design, and color correction.

Outlines

00:00

🚀 Introduction to a Potential Sora Competitor

The video introduces a new AI video generator named 'Vu', which is being compared to the yet-to-be-released Sora. The presenter discusses the potential of this new model to compete with Sora in terms of quality. The video script mentions a signup link for viewers to try out the technology. The presenter also talks about uncovering interesting details about the new model and addresses the question of its usability. The script includes a brief look at a sizzle reel showcasing the capabilities of the new AI video generator, highlighting its ability to generate clips up to 16 seconds at 1080p resolution.

05:02

🤖 Understanding VIDU's Architecture and Capabilities

The presenter delves into the technical aspects of VIDU's architecture, which is based on the Universal Video Transformer (UViT). The explanation covers two foundational papers: the DPM solver, which aids in making better predictions for future generations of diffusion models, and 'All Are Worth Words', which combines Vision Transformers with U-Nets to create a powerful image generation model. The presenter discusses how UViT treats various elements as tokens and uses long skip connections to maintain coherence between the beginning and end of a video. The video script also includes a comparison of VIDU's output to Sora's, noting that while VIDU looks good, it may not be as exceptional as Sora's initial demonstrations. The presenter shares examples of 16-second clips generated by VIDU, demonstrating the model's ability to maintain temporal coherence and generate detailed visuals.

10:05

🎬 VIDU's Output and Comparison with Sora

The video script provides a detailed analysis of several 16-second clips generated by VIDU, highlighting the model's ability to create temporally coherent outputs and impressive visuals. The presenter appreciates the 'mid-journey V4' aesthetic of the generated content. The script also compares VIDU's outputs to Sora's, noting that while Sora's videos tend to have more action and detail, VIDU's outputs are still highly impressive. The presenter discusses the potential for VIDU to be used in practical applications, referencing a short film created using Sora and the extensive post-production work required to achieve a polished final product. The video concludes with information about VIDU's sign-up process and a teaser for an upcoming interview about Sora's integration into Adobe Premiere and future plans for After Effects.

Mindmap

Keywords

💡Sora

Sora is an AI video generation model that is referenced as a benchmark for comparison throughout the video. It is considered a high-quality standard in the field of AI video generation. In the script, Sora is mentioned in the context of comparing its capabilities with the new AI model, 'Vu,' which is attempting to reach or surpass Sora's level of quality.

💡Vu (Vidu)

Vu, also referred to as Vidu in the script, is a new AI video generator that is the central focus of the video. It is capable of generating video clips up to 16 seconds at 1080p resolution. The video discusses its potential to compete with Sora and provides examples of its output, which often references or mirrors content from Sora's initial video release.

💡Universal Video Transformer (UViT)

UViT stands for Universal Video Transformer, which is the architectural foundation of the Vu model. It is a culmination of two separate research papers, DPM solver and 'All Are Worth Words.' UViT is significant because it treats all aspects of a video as tokens and uses long skip connections to maintain coherence between the start and end of a video clip, which is a key differentiator from other models like Sora.

💡Diffusion Models

Diffusion models are a type of machine learning model that are mentioned in the context of the DPM solver paper. These models are used to make better predictions about future generations or frames in a video sequence. They are integral to how the UViT architecture functions and contribute to the video generation process.

💡Vision Transformers

Vision Transformers are a type of AI model that excels at analyzing and understanding images. In the context of the video, they are combined with a U-Net architecture within the UViT to create a model that is adept at both image analysis and image generation, which is crucial for the video generation capabilities of Vu.

💡Temporal Coherence

Temporal coherence refers to the consistency and smooth transition of visual elements over time in a video sequence. The video discusses how the Vu model maintains temporal coherence, ensuring that objects within the generated videos, such as TVs or a panda bear, maintain their form and movement in a realistic and consistent manner.

💡Sizzle Reel

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

💡Shinu Technology and Singua University

Shinu Technology and Singua University are the developers of the Vu model. They are credited with creating the AI video generator that the video discusses in depth. Their collaboration likely represents a significant contribution to the field of AI video generation.

💡Post-Production

Post-production refers to the process of editing and refining a video after its initial recording or generation. The video script mentions the extensive work required in post-production to clean up and enhance 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 explores this concept through the examination of the Vu model, comparing its output to that of Sora, and discussing the technical and creative aspects that contribute to the final video quality.

💡Freebird

Freebird is a song by the rock band Lynyrd Skynyrd. In the context of the video, it is humorously mentioned as the song that a panda bear is playing on a guitar in one of the AI-generated clips. This serves as an example of the imaginative and creative outputs that AI video generators can produce.

Highlights

A potential Sora killer AI video generator is introduced, which could surpass Sora before its release.

The new AI video generator, possibly named 'Vu', can produce clips up to 16 seconds at 1080p resolution.

Vu's architecture is based on the Universal Video Transformer (UViT), a combination of two separate papers, DPM solver and 'All Are Worth Words'.

UViT treats all aspects of the video, including time and conditions, as tokens and uses long skip connections for better coherence.

Vu's video outputs are compared to Sora, showing a strong potential in video generation quality.

Vu's generated videos maintain temporal coherence and detailed visuals, although not as detailed as Sora's.

A full 16-second clip of Vu's output is showcased, demonstrating its ability to reference and generate complex scenes.

Vu's generated panda playing guitar video shows impressive background coherence and reactive shadowing.

A beach vacation villa clip from Vu demonstrates the model's ability to handle transitions and dissolves between shots.

Vu's imaginative side is shown in a clip featuring a ship in a bedroom, with the boat reacting correctly to the water's movement.

A side-by-side comparison with Sora reveals that while Sora has more action and detail, Vu maintains a real place aesthetic.

The Tokyo walk sequence from Vu is compared to Sora, showing comparable results despite inherent limitations of short clip lengths.

Sora's video generation process requires significant post-production work to achieve consistency, as discussed by the production company Shy Kids.

Paul Trello's VFX breakdown demonstrates the use of AI tools, including AI imagery, for creating compelling scenes in his short film.

Vu's website offers a signup link, suggesting that users will soon be able to utilize the technology, possibly before Sora's release.

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

The speaker, Tim, emphasizes the potential of AI video generation technology for creating compelling imagery despite the need for human post-production.