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RT @StephenMPinto: Most of our problems in San Francisco are directly attributable to a narcissistic, wealthy, bored, activist class in pur…
AI Optimist. Empiricist, not 'rationalist'. Anti world government.
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Research Scientist @meta (FAIR), Prof. @Unige_en, co-founder @nc_shape. I like reality.
van build update: walls, insulation, windows, flooring, and bed frame are done
creator // ex @a16zcrypto, @linkedin, @snap
i wouldnt be caught dead going as chatgpt you cant thirst trap like that no matter how many cameras your iphone has. itll all be worth it after some guy with 12 followers and a cartoon dolphin pfp dms me to tell me my hair is cute https://t.co/I0LapZrcqX
just realized like 4 ppl with a cartoon dolphin pfp follow me sorry i didnt mean it like that pretend i said cartoon platypus which im sure no one has
There’s a King in Town: 3D Gaussian Splatting! Let’s be honest. There’s a king ruling the world of novel view synthesis: 3D Gaussian Splatting. At this point, it doesn’t even matter if something “better” shows up. Every week, a new paper drops: Beta Splatting, Triangle Splatting, Radiant Foam, Convex Splatting. The names keep coming. Each one claims to be the next big thing. But the industry has already moved on. Meta, Apple, NVIDIA, Tesla, and a wave of smaller studios are all in on 3D Gaussian Splatting. And they are not wrong. The momentum is insane. Research output is exploding. Open-source tools are everywhere. You have Supersplat, gsplat, LichtFeldstudio, Brush, and more. Entire communities are forming around it. You can fine-tune, render, optimize, and visualize everything in a mature and well-supported and growing ecosystem. Nobody wants to throw that away. Switching to a new representation, even if it looks a bit better on paper, means starting from zero: no tools, no ecosystem, no community. 3D Gaussian Splatting has everything it needs: speed, quality, tooling, hype, and momentum. It will be hard to crown a new king.
Your guide to radiance fields | Host of the podcast @ViewDependent | Founder and CEO of https://t.co/5MjtfpwEU3 | discord: https://t.co/lrl64WGvlD
“Don’t worry about it. We’ll cross entropy when we get there.”
Asst professor @MIT EECS & CSAIL (@nlp_mit). Author of https://t.co/VgyLxl0oa1 and https://t.co/ZZaSzaRaZ7 (@DSPyOSS). Prev: CS PhD @StanfordNLP. Research @Databricks.