Re:DreamFusion: Text-to-3D using 2D Diffusion
by alphabetting on Thursday September 29, 2022 @06:14PM
(#33028043)
A ton of big advances in AI that community has benefitted from have been from published google research
Re:DreamFusion: Text-to-3D using 2D Diffusion
by gamegoblin on Thursday September 29, 2022 @07:17PM
(#33028667)
Notably, the transformer architecture, the basis of the last few years of ML breakthroughs, came out of Google.
Re:DreamFusion: Text-to-3D using 2D Diffusion
by LarsDu88 on Friday September 30, 2022 @02:20AM
(#33031606)
IMO the biggest algorithmic advances made by Google such as the transformer have greatly pushed the field forward. The giant model's that will have similar variations released in the next 3 months actually aren't that important on a conceptual level except as a PoC.
Re:DreamFusion: Text-to-3D using 2D Diffusion
by cuuupid on Friday September 30, 2022 @09:33AM
(#33034623)
While the transformer model is important that was 1 paper in an ocean they put out every year.
Also it’s one of the only papers they put out that falls completely outside what I put above. They released everything about it including the model code, pretrained weights, the techniques; and it took quite a while for the model to “catch on” while it was peer reviewed and reproduced by others.
Something something broken clock
- they rarely provide the data or code used so it's basically "i swear it works bro" research
- what they achieve is usually through having the most pristine dataset on the planet and is often unusable by other researchers
- other times they publish papers that are basically "we slightly modified this excellent open source paper, slapped an internal name on it and trained it on our proprietary dataset"
- sometimes they achieve remarkably little but their papers still get a shiny spot because they're a big name and sponsor all the conferences
- they've also been caught trying to patent/copyright ML techniques; disregarding that this is the same as privatizing math, these are often techniques they plainly didn't come up with
Also ever since OpenAI did their "we have to go closed-source for-profit to save humanity" PR campaign, every company that releases models that can achieve a large amount in NLP/CV gets dragged by the media and equated to Skynet.