The work described in the linked article is also extremely impressive and feels almost unreal, in any case.
The work described in the linked article is also extremely impressive and feels almost unreal, in any case.
I don't know; I feel the real-world applications are still missing and what we are now seeing are tech demos (impressive ones!) and gimmicks. I'm still waiting to see all this ML stuff to be used in a productive context.
Also Retrobatch has a ML based image classifier, but I didn't try that yet.
Other than these, yet all these are impressive tech demos. We need them in production and preferably open source (model + training + process) versions.
I think Dwarf Fortress has the story generation part. The aesthetics/graphics part not yet..
And I think its procedurally generated, but with complex and strange results.
https://www.reddit.com/r/dwarffortress/comments/2ztnkw/i_thi...
I suspect Ultima Ratio Regum is a step up from DF even in terms of procgen world lore. I mean the creator (author?) of that game wrote their PhD thesis on the subject
News and sports, in particular.
It got some weird pushback, but Peter Jackson's film "They Shall Not Grow Old" really helped make it's subjects so much more real by cutting through the limitations of the old footage from the 1st World War. Being able to apply similar techniques more cheaply and quickly will bring a lot of old footage to life and make the past much more real for the viewer.
As someone in the field of computer graphics , where there’s been considerable ML research over the past few years that are more reliably applicable to people’s lives , most of the exciting stuff doesn’t make it to the front page of HN even if it’s posted here.
There’s been lots of research in the past few years. The initial shiny stuff makes it on here, but it’s the follow up iterations that are highly catalyzing of change that don’t because public interest in those topics has waned in the interim.
I should add that my point is more that there’s not been a slow down in ML research, and the ebb and flow of interest on HN isn’t indicative of accelerated progress in the field. Simply of what things have captured the public mind.
Anyway on to the links…
Disney had a slew of papers out this year, the facial motion retargeting ones in particular are very interesting for use in production of films and “metaverse” characters
https://studios.disneyresearch.com/machine-learning/
Luma have had a lot of progress in their Nerf capture and on device representation which will likely have huge effects for e-commerce use cases among other things
https://captures.lumalabs.ai/unbounded
Nvidia released an ML based version of OpenVDB that will potentially improve effects in films, but could be huge for games
There were also a ton of neural rendering papers at siggraph that I still need to separate in my head mentally since I saw them presented back to back, so I apologize for just sharing a dump
https://twitter.com/neural_fields/status/1555947856271446018...
Apple released some neural rendering content too that has a lot of implications for spatial product training
I wouldn't call moving pixels on a screen "real-world". Are these technologies going one day to have a physical effect on our lives, like, in the real real-world? I very much doubt it.
It's week two, give it two decades.
Or come and build some!
Amazon in 2000 didnt knew it would become infra for the world with AWS