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I put motion-bricks.cpp up on GitHub! It generates animations from key-frames in realtime using a tiny model that easily runs on a desktop CPU and Vulkan. There are still bugs to iron out and I'm thinking this can be combined with physical simulation and robotic control policies...

Richard Palethorpe

1,697 subscribers

59,244 görüntüleme • 9 gün önce •via X (Twitter)

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Richard Palethorpe profil fotoğrafı

Richard Palethorpe9 gün önce

Also checkout my livestreams on this:

Milo profil fotoğrafı

Milo9 gün önce

They look very similar; is there a connection between them?

Richard Palethorpe profil fotoğrafı

Richard Palethorpe9 gün önce

Yes that's the original in PyTorch

PCI Express profil fotoğrafı

PCI Express9 gün önce

I'm curious how this will be used in games, like I still don't understand how people chain different animations and make them fluid like we can see in Arc Raiders. Weighted and grounded movements.

Richard Palethorpe profil fotoğrafı

Richard Palethorpe9 gün önce

I have no idea how current games do it, but this is designed to be used with robots that are constrained by physics and have a control policy (another neural net that is trained with RL to keep the robot upright) that will attempt to stabalise the robot while MotionBricks provides movement targets. So in a game you could physically simulate a character with a control policy to balance them, then use motion bricks to generate target movements. At the end you only get physically possible movements

PCI Express profil fotoğrafı

PCI Express9 gün önce

That’s really interesting because motion bricks and kimodo are pretty similar, except one is text to motion. OwO

Broadstreet profil fotoğrafı

Broadstreet8 gün önce

Awesome for animators and game creators

Fabio Angela profil fotoğrafı

Fabio Angela8 gün önce

Cool thanks, I'll take a look, I'm working on a pipeline where I want to generate poses with openai Imagine2 and I extract keypoints with mediapipe or similar and map to a skeleton to have the pose I can place on a 3d canvas, this may be the way

Jonathan Steinberg profil fotoğrafı

Jonathan Steinberg9 gün önce

Nice!

Milo profil fotoğrafı

Milo9 gün önce

Please attach the head to it.😱

Richard Palethorpe profil fotoğrafı

Richard Palethorpe9 gün önce

It's the skeleton for the Unitree G1 which has a head but I guess it's static

Milo profil fotoğrafı

Milo9 gün önce

Got it, it's great.

xenstudio profil fotoğrafı

xenstudio9 gün önce

Pretty badass dude. Cool beans!

𝗘𝗜𝗞𝗢 profil fotoğrafı

𝗘𝗜𝗞𝗢8 gün önce

Seems like Cascadeur!

AINZX profil fotoğrafı

AINZX9 gün önce

Bro how are u achiving it its going beyond my head

AI Mastery Guide profil fotoğrafı

AI Mastery Guide9 gün önce

Runs on CPU, that's wild

Simeon Nedelchev profil fotoğrafı

Simeon Nedelchev9 gün önce

Looks impressive! BTW if you are intetested in neural character animation check out the "Control Operators for Interactive Character Animation" and "Learned Motion Matching"

PCI Express profil fotoğrafı

PCI Express9 gün önce

@taksasDESUYO い

Kevin Rajan profil fotoğrafı

Kevin Rajan9 gün önce

wtf that's so cool, how close is this to the pareto-frontier? or is it just an experiment?

Starkium profil fotoğrafı

Starkium9 gün önce

might play with this in my game engine / project

Leon S.Ch profil fotoğrafı

Leon S.Ch9 gün önce

两个人互动可以做吗？

Richard Palethorpe profil fotoğrafı

Richard Palethorpe9 gün önce

I'm not sure that translates correctly, but probably the answer is no

namaissur profil fotoğrafı

namaissur8 gün önce

@NickChapmn when in @SubstrataVr ?

₭URO𓃵 profil fotoğrafı

₭URO𓃵9 gün önce

Hey dude:)) this is amazing, can u send me dm? i can´t

namaissur profil fotoğrafı

namaissur8 gün önce

looks cool! thanx for sharing!

Christian Jäger profil fotoğrafı

Christian Jäger9 gün önce

Nice work! I had the same idea what are your future plans? I'm still trying to learn more about motion bricks. uncharted territory :D

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hi all, excited to join! i'm building an expressive mini "shoggoth" robot which will eventually be hooked up to gpt4o realtime voice. i'm currently working on the low-level policies, which are trained in a mujoco simulation with RL. to delay working on raw-pixels for now, i trained a pose-estimation model using deeplabcut and triangulate the position in 3d space using the stereo cameras. eventually, i'll use gpt4o's tool calling capabilities to activate several of these policies (closed and open loop) based on the dialog flow! captions: manual actuation of the tentacle / 3d pose estimation / target design

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