TobiasEnholmX

Yeah, exactly. Gaussian Splatting works great when you have an image (or set of images) and want to reconstruct a whole scene in 3D, but it treats everything as a unified point-based representation. In a structured 3D scene, though, objects are clearly separated, so you can manipulate them individually.

For example, you can attach a LoRA specifically to one object and run a separate workflow just for that, giving you way more control. That’s a big difference—Gaussian Splatting doesn’t naturally lend itself to object-level edits since everything is blended into the same representation.

Appreciate the feedback! Sounds like you're looking for more of a deep dive into the tech and how it works. This post was more about showing results, but we’ll cover the process and technical details in another one

We’re actually finding that leveraging 3D reduces complexity rather than increasing it. Setting up a 3D scene is getting easier with tools like image-to-3D, and once it's set up, you can reuse it flexibly across different shots without having to recreate assets from scratch.

By passing a structured 3D-rendered image to the AI, you increase the chances of the video model generating exactly what you want, rather than relying on unpredictable, frame-by-frame AI improvisation.

Fair point! We debated whether to post this here since it's more about examples rather than the full how-to and technical breakdown. Next post, we’ll aim to go deeper into the process and techniques behind it. Appreciate the feedback!

First off, I’d love to hear more about your experience. If you’re up for a chat, shoot me an email at [email protected], or let me know where I can learn more about what you’ve worked on!

1. I assume you mean patience when setting up a 3D scene? That’s definitely a factor, but it’s getting easier with image-to-3D tools, and AI can even assist with object placement to speed things up.

2.Yeah, predictability is key. Our approach is about making it easier to generate high-quality, consistent images, which are then fed into video models—rather than relying on direct video-to-video style transfer, which can be more chaotic.

3. Agreed! AI can animate things that traditional methods struggle with, but consistency is still a challenge. This workflow helps strike a balance between AI flexibility and user control.

Yeah, I see what you mean! When we say 3D here, we mean working with actual 3D scenes—models, depth, and lighting—rather than the '3D movie' style like Pixar. The goal is to use 3D to control AI generations more precisely, so things stay consistent across frames instead of AI hallucinating every frame from scratch."

Your experience with Minimax sounds cool! Adding 'animated' to the prompt helping consistency makes sense—AI models often struggle with structure, so any guidance helps.

I just checked and it works for me, but I'm on IOS. There is a fallback that sends each subscriber to my email as well

That makes sense! Giving AI a structured starting point so it doesn’t go off the rails is similar to what we're doing with 3D. Instead of letting it hallucinate frame by frame, we define the space, characters, and style upfront—so the AI focuses more on refinement rather than making up new details every time. Interesting parallel!

Yeah, modeling and animating used to be a huge bottleneck, but with tools like image-to-3D and improving AI animation models, it's getting easier and faster. The goal here isn’t to replace animation but to use 3D as a guide, so AI doesn’t have to guess everything from scratch. In this workflow, you don’t even need animations—just static 3D models. The output is a single image that gets passed to a video model, which handles the motion.

Good question! When we say '3D' here, we mean using 3D models and scenes as a base to guide AI video generation. The AI isn’t just making things up from scratch—it follows the structure of a 3D-rendered scene to keep things consistent across frames. It’s not a product, just an approach to solving the problem of AI-generated video drifting too much between frames.

Yeah, that’s pretty much the idea. AI has a lot of freedom when generating each frame independently, which often leads to inconsistencies. By using a 3D base, we’re constraining that freedom. Locking in composition, lighting, and perspective so AI doesn’t hallucinate unintended changes. The goal is to have a stable structure where AI can still add detail and style but without breaking spatial or physical consistency.

Ambient co-founder here. You're right, thanks for the feedback, we'll update the website with one soon.