Pau Gargallo

524 posts

Pau Gargallo

Pau Gargallo

@paugargallo

Reconstructing the world one image at a time at https://t.co/AsIUkJrfBC prev @RealityLabs and @mapillary

Zurich Katılım Kasım 2010
305 Takip Edilen258 Takipçiler
Jon Barron
Jon Barron@jon_barron·
An extrapolation from Grok Imagine. Not sure what it's imagining in terms of price elasticity among consumers of T2V models but I'm here for it.
English
1
0
3
1.3K
Pau Gargallo
Pau Gargallo@paugargallo·
@dhh Awesome! Thanks! Did you manage to turn off the led strip behind the screen? I failed at it and ended up putting black tape on it 😅
English
1
0
0
670
DHH
DHH@dhh·
Next version of Omarchy has solved all the fiddly quirks and tweaks you need for the Asus G14/G16 series of laptops to work. Full support for brightness/volume/keyboard-backlighting controls, NVIDIA DGPU toggling, and audio mic fix. Such a great laptop with an incredible screen!
English
42
21
807
132.7K
Dominique Paul
Dominique Paul@DominiqueCAPaul·
Start-up events in Zurich are mostly lectures, panels and work driven. Almost no occasions to meet other builders in a casual setting. So I’m organising a simple founders’ cocktail evening this Friday. No agenda. Just drinks and food. A few spots left - who should join?
Dominique Paul tweet media
English
17
4
60
2.9K
Pau Gargallo
Pau Gargallo@paugargallo·
@DanielMiessler So cool! What is the voice to text tool you are using with CTRL+J at 6:30 in the video?
English
0
0
0
113
ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️
I built a @claudeai skill that it takes any input and converts it into different kinds of art for my site using Nanobanana 3.0. - Blog header art - Tech - Comics Available for free in our public Personal AI repo!
ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ tweet mediaᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ tweet mediaᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ tweet mediaᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ tweet media
English
33
75
1.5K
129.9K
Pau Gargallo retweetledi
Nikhil Keetha
Nikhil Keetha@Nik__V__·
Meet MapAnything – a transformer that directly regresses factored metric 3D scene geometry (from images, calibration, poses, or depth) in an end-to-end way. No pipelines, no extra stages. Just 3D geometry & cameras, straight from any type of input, delivering new state-of-the-art results 🚀 One universal model enables SoTA for: 🔥 Mono Depth Estimation 🔥 Multi-View SfM 🔥 Multi-View Stereo 🔥 Depth Completion 🔥 Registration … and many more possibilities! – plus everything is metric 🎯 We release code for data processing, training, benchmarking & ablations – everything Apache 2.0! Details & Links 👇
English
30
132
741
121.5K
Andrew Davison
Andrew Davison@AjdDavison·
What type of computation can only be done iteratively?
English
9
0
10
4.7K
inigo quilez
inigo quilez@iquilezles·
@DoItRealTime Tried, but they clash, they are too close. Only have 0, 90, 180 and 270 degree phases available because of the axis grooves - we can't do something fancy like interleaving at 60 degrees.
English
1
0
1
300
inigo quilez
inigo quilez@iquilezles·
We improvised a marble elevator with some lego technique and regular legos, for a duplos marble run we had around.
English
12
8
366
29.3K
Pau Gargallo
Pau Gargallo@paugargallo·
You know you are an old CV fart when you see SFM and think "Structure from Motion", but they mean "Spatial Foundation Models" Cool stuff: #Mission" target="_blank" rel="nofollow noopener">spaitial.ai/#Mission
English
0
0
3
202
Pau Gargallo retweetledi
Shreyas Gite
Shreyas Gite@shreyasgite·
Gemini + π0 = actually useful robots! (Similar to what @physical_int did with "Hi Robot") I can now verbally tell the robot that I'm building a red Lego wall or wooden tower, and it will infer the next steps by itself and pass me the necessary pieces, tools, or materials, ha! You can also just ask it to bring you things! The pipeline works as follows: - OpenAI Whisper (local) → speech to text - Gemini → makes sense of user requests, converts to robot tasks, bounding boxes, grasping points, etc. (System 2 thinking FTW!) - π0 → robotic actions The π0 was finetuned just for pick-and-place Lego bricks only, and it generalizes beautifully to all kinds of tasks. However, there's lots of room for improvement when it comes to grasping & accuracy. Things that could help: - Conditioning on grasping points - Better data collection (I'm not that great at teleop) - Lots more synthetic data and simulations
English
15
28
284
25.5K
Pau Gargallo retweetledi
Boyang Deng
Boyang Deng@boyang_deng·
Thought about generating realistic 3D urban neighbourhoods from maps, dawn to dusk, rain or shine? Putting heavy snow on the streets of Barcelona? Or making Paris look like NYC? We built a Streetscapes system that does all these. See boyangdeng.com/streetscapes. (Showreel w/ 🔊 ↓)
English
3
18
112
29.2K
Pau Gargallo
Pau Gargallo@paugargallo·
@sellan_s @YouJiacheng Cool thanks! I couldn’t avoid seeing a sphere that was inside the curve in one drawing and outside in another and had to ask 😅
English
0
0
1
22
Pau Gargallo
Pau Gargallo@paugargallo·
@sellan_s @YouJiacheng do you also use the normals during the reconstruction step to ensure that the surface is tangent to the spheres?
English
0
0
0
18
Pau Gargallo retweetledi
UploadVR
UploadVR@UploadVR·
The Quest v64 update brought two undocumented major new features: furniture recognition on Quest 3 and simultaneous hands & controllers in the home space: uploadvr.com/quest-v64-undo…
English
5
17
71
17K
Pau Gargallo
Pau Gargallo@paugargallo·
@karpathy I’ve only heard about Karpathy compile doing this
English
0
0
0
134
Andrej Karpathy
Andrej Karpathy@karpathy·
torch.compile is cool but LLM compile: takes your .py repo as string and outputs a brand new, custom, from scratch, minimal code repository directly running your network in highly optimized CUDA
English
54
104
2K
296.4K
Pau Gargallo retweetledi
Mapillary
Mapillary@mapillary·
Now available on Mapillary: Neural Radiance Fields (NeRFs)! 🎊 NeRFs allow for the transformation of a collection of 2D images into detailed, immersive 3D reconstructions. Read our blog post to learn more and see how you can get started with NeRFs: blog.mapillary.com/update/2024/03…
English
1
27
105
9.2K
Toni Mateos
Toni Mateos@toni_mateos·
(1/2) We've won an Oscar!! Dolby Atmos has received the Academy Plaque for Scientific & Technical Achievements, the highest award short of an Oscar statuette, by the Academy of Motion Picture Arts & Science. youtu.be/h3IyGHbVlMw
YouTube video
YouTube
Toni Mateos tweet mediaToni Mateos tweet media
English
8
5
39
8.8K