New AI Video Goes Hard At Open AI!
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
- π¬ A new AI video generator called 'Vu' is being compared to the yet-to-be-released Sora model.
- πΉ Vu can generate video clips up to 16 seconds at 1080p resolution, with a focus on temporal coherence.
- π The architecture of Vu is based on Universal Video Transformer (UvIT), which combines Vision Transformers and U-Net for image generation.
- π€ UvIT treats different aspects of video as tokens and uses long skip connections to maintain coherence between frames.
- πΊ A sizzle reel showcasing Vu's capabilities was released, with clips that directly reference Sora's initial video release.
- π The quality of Vu's output is considered good but not mind-blowingly superior to Sora, with some visual details not as refined.
- π The script discusses the technical aspects of UvIT, including DPM solver and the 'All Are Worth Words' paper, which are foundational to its design.
- π½ Examples of longer 16-second clips from Vu are provided, demonstrating its ability to generate coherent video sequences.
- πΌ A humorous observation is made regarding AI-generated content featuring bears playing guitars, indicating a trend or fascination in AI research.
- π A comparison is made between Vu and Sora, highlighting the strengths and weaknesses of each model in terms of realism and video generation.
- π 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.
- π 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
π 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.
π₯ 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.
π 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
Vu
Universal Video Transformer (UvIT)
Diffusion Models
Temporal Coherence
Sizzle Reel
Post-Production
AI Video Generation
Sign-up Link
V4 Model
Dissolve
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.