rallyforthesun

Most implementations of 3d gaussian splats are static. They are based on pointclouds and not polygons. As these are captured with images and generated from them, the process has no semantic understanding of its content. There is no technical way to rig each flower or move vertices like in traditional 3d animation. It is mainly a pointcloud with no segmentation.

But there are projects working on the semantic part, which could open a way to animate the detected objects individually in future.

I read a lot of comments talking about „getting down the operational costs“ but i am missing someone talking about the costs of depositing the nuclear waste until it has no more risks. Am i missing something?!

SplatAM is an interesting new way to generate 3D Gaussians in real-time. It relies on RGB+D data and doesn’t need COLMAP at all. I am not related to it but am using it for a project with a robot, as its main purpose is to do SLAM. As far as I understand, it uses the point cloud for the alignment of the images

edit:typo

How does this work? Using 3d Gaussian Splats? Looks interesting!

The results i did get from deepseek-r1 on their webpage did not match the results i did get from o1-pro. I did ask it go to a github repo, find the part where the logic of the “export” button is and explain why it doesn’t work (the whole logic is actually missing, won’t work at all). O1 pro did get it right in the first try while deepseek r1 was heavily hallucinating. Maybe i am using the wrong model?

addictive

I did just ask to remember from our last chats, if we hadn’t this particular bug discussed before.

I learned today, that o-1 is able to search through all chats and can find and verify if the findings are relevant to the actual context. i found that very usefull as i have a lot of very long chats regarding only one project. ChatGpt lists the findings with the date and context and searches further back if asked for it. (in my case summer 2024)

This method is promising, especially with flat and untextured surfaces. Secondly, this method has far better detailed results in the background. (compared to 3d Gaussian Splatting)

You are right, that many features in game engines cannot be used yet, especially relighting and reflections. But there are cases where game engines (like Unreal Engine 5) are used, for example in Virtual Production with Ledscreens, where a photorealistic background is needed (3d gaussians do look more realistic and are cheaper to produce than a comparable scene made of polygons)

Supersplat is actually a game engine (but for the web)

Thanks for the advice, i did compile the repo on my m1 using vs code, but i do compare the speed to my workstation RTX4090, that comparison is not appropriate.

Thank you for releasing this. It is the first option afaik, to generate a 3D Gaussian on a Mac without a gpu (using M1 Pro). It is quite slow, but quick enough to test-train a dataset while onsite, without the need to carry heavy workstations around! I really like the option to use rerun.io for training analytics. Again, thank you.