New AI Video Goes Hard At Open AI!
TLDRThe video discusses a new AI video generator named 'Vu', which is being compared to the yet-to-be-released Sora. Vu, developed by Shinu Technology and Singua University, can generate high-quality clips up to 16 seconds at 1080p. The video showcases a sizzle reel and longer clips from Vu, highlighting its ability to maintain temporal coherence and generate detailed visuals. The architecture of Vu is based on the Universal Video Transformer (UViT), which combines Vision Transformers with a U-Net model to create a system that understands and generates images effectively. While not as mind-blowing as Sora, Vu offers a unique aesthetic and impressive output. The video also touches on the challenges and post-production work required to refine AI-generated content, referencing the use of Sora in the short film 'Airhead'. A signup link for Vu is mentioned, but as of the video's recording, it appears to be temporarily non-functional due to high demand.
Takeaways
- 🎬 A new AI video generator called 'Vu' is introduced, which can generate video 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 models.
- 🤖 UvIT treats all elements as tokens and uses long skip connections, allowing it to maintain coherence between the start and end of a video.
- 📺 A sizzle reel showcases 'Vu' with direct references to Sora, indicating a competitive edge.
- 📉 'Vu' differs from Sora in its approach to video generation, with Sora creating temporal spaces for its videos.
- 🌟 The quality of 'Vu' is considered good but not mind-blowingly superior to Sora, with some visual details not as refined.
- 📹 Examples of 'Vu' outputs include a panda playing guitar, a beach vacation villa, and a ship in a bedroom, demonstrating the model's capabilities.
- 🤹♂️ A side-by-side comparison with Sora shows 'Vu' to be comparable but with some differences in realism and aesthetics.
- 🎥 The video discusses the post-production process necessary to refine AI-generated videos, highlighting the effort behind creating consistent final features.
- 🔗 A signup link for 'Vu' is provided, although the submit button may be temporarily broken due to high traffic.
- 📚 The transcript mentions an exclusive interview with Adobe about Sora's integration into Premiere and future plans for After Effects.
Q & A
What is the name of the new AI video generator discussed in the transcript?
-The new AI video generator is referred to as 'Vu' or 'Vimu', though the exact name is not confirmed in the transcript.
What is the maximum length of the video clips that the new AI video generator can produce?
-The new AI video generator can produce clips up to 16 seconds at 1080p resolution.
Which technology's architecture does the new AI video generator 'Vu' use?
-The architecture of 'Vu' is based on 'Universal Video Transformer' (UViT), which is a combination of two separate papers, DPM solver and 'All Are Worth Words'.
How does UViT treat different elements in the video generation process?
-UViT treats everything, including time and specific conditions, as tokens and utilizes long skip connections to maintain coherence between the first and last frames of the video.
What is the main difference between the video generation approach of UViT and Sora?
-UViT has an in and an out point and can chart a path between the two, unlike Sora, which creates temporal spaces for its videos. This results in a more coherent and less hallucinatory output from UViT.
What is the significance of the longer runtime examples of the new AI video generator's output?
-The longer runtime examples, such as the 16-second clips, demonstrate the AI's ability to maintain temporal coherence and generate detailed and consistent video outputs.
How does the new AI video generator handle transitions between different video frames?
-The AI seems to handle transitions by using dissolves between shots, which is a technique also observed in Sora. It suggests that the model can figure out the transitions between the beginning and the end of the video.
What is the current status of the sign-up link on the new AI video generator's website?
-As of the time of the transcript, the sign-up link on the 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.
What was the production process like for the short film 'Airhead' created using Sora?
-The production process for 'Airhead' involved a significant amount of manual work to clean up the Sora footage, including curation, script writing, editing, voice over, music sound design, color correction, and other post-production tasks.
How did Paul Trello utilize AI tools for his short film 'Notes to My Future Self'?
-Paul Trello began his sequences by generating AI imagery and then compositing his actors into those scenes. He also used a variety of tools from Photoshop to Magnific and Gen 2 to create motion in the backgrounds.
What is the comparison between the new AI video generator and Sora in terms of environment realism?
-While both the new AI video generator and Sora produce high-quality video outputs, Sora tends to have more action and clearer definition in its videos, making the environment appear more realistic. However, the new AI generator also creates realistic-looking places.
What is the general aesthetic of the new AI video generator's output compared to Sora's?
-The new AI video generator's output has a mid-journey V4 kind of look, which is appreciated for its surreal aesthetic. Sora's outputs are more action-packed and detailed but can sometimes appear less consistent.
Outlines
🚀 Introduction to a Potential Sora Rival: Vu
The video begins with the introduction of a new AI video generator, Vu, which is positioned as a potential competitor to Sora, despite Sora not being released yet. The speaker expresses their anticipation and skepticism about the new model's ability to match Sora's quality. They mention a Sizzle reel showcasing the capabilities of Vu, developed by Shinu technology and Singua University, which seems to be targeting Sora directly with its examples. The video also discusses the technical architecture of Vu, which is based on the Universal Video Transformer (UViT), combining Vision Transformers and U-Nets to generate images and videos. The speaker acknowledges the complexity of the technology and provides a basic understanding of how it works, emphasizing the model's ability to maintain temporal coherence and chart a path between the first and last frames of a video.
🎥 Analyzing Longer Outputs from Vu
The speaker analyzes full 16-second clips generated by Vu, noting the references to Sora's initial hype reel and the quality of the outputs. They discuss the temporal coherence and the level of detail in the visuals, comparing them to Sora's outputs. The video showcases a variety of scenes, including a panda playing guitar, a beach vacation villa, and a ship in a bedroom, highlighting the model's ability to generate imaginative and coherent scenes. The speaker also compares Vu's outputs to Sora's in terms of realism and aesthetic appeal, noting that while Sora may have an edge in some areas, Vu still produces compelling imagery. They mention the importance of post-production work to achieve consistency in AI-generated videos, citing the example of a short film created using Sora.
📚 Post-Production and Future of AI Video Generation
The video concludes with a discussion on the post-production process required to refine AI-generated videos into a final product. The speaker references a VFX breakdown by Paul Trello, who used AI tools to create his short film, 'Notes to My Future Self,' and integrated actors into AI-generated scenes using various techniques and tools. The video also provides a sign-up link for Vu, although it notes a temporary issue with the button on their website. Lastly, the speaker teases an upcoming interview with Adobe about Sora's integration into Premiere and future plans for After Effects, encouraging viewers interested in Sora to look forward to it.
Mindmap
Keywords
💡Sora
💡Vidu
💡Universal Video Transformer (UvIT)
💡Sizzle Reel
💡Temporal Coherence
💡Vision Transformers
💡U-net
💡Long Skip Connections
💡DPM Solver
💡All Are Worth Words
💡AI Video Generation
Highlights
A new AI video generator, potentially capable of competing with Sora, has been unveiled.
The AI, referred to as 'Vu', can generate video clips up to 16 seconds at 1080p resolution.
Vu's architecture is based on the Universal Video Transformer (UViT), combining Vision Transformers and U-Net.
UViT treats all elements, including time and conditions, as tokens and uses long skip connections for coherence.
Vu's Sizzle reel directly references Sora, showcasing its intent to compete with the existing model.
Vu's video outputs are temporally coherent and maintain consistency throughout the generated clips.
A full 16-second clip of Vu's output references the TV screens from Sora's initial hype reel.
The visuals on the TVs in Vu's output are not as detailed as Sora's, but maintain a consistent aesthetic.
Vu's output of a panda bear playing guitar showcases its ability to generate coherent backgrounds and reactive shadows.
Vu's dissolves between shots in a beach vacation villa clip are reminiscent of Sora's transitions.
A comparison between Vu and Sora shows that while Sora's environment realism is slightly better, Vu maintains a real place feel.
Vu's Tokyo walk sequence, though short, shows comparable quality to Sora's model.
Sora's video generation requires significant post-production work to achieve consistency.
Paul Trello's VFX breakdown demonstrates the use of AI tools for creating compelling imagery in his short film.
Vidu's website offers a signup link, though 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.
The speaker, Tim, emphasizes the potential of AI video generation technology to create compelling imagery despite its current limitations.
