Chen-Hsuan Lin @chenhsuanlin
Senior research scientist @NvidiaAI • PhD @CMU_robotics • world modeling & 3D content creation 🤖👁🧠🧬 chenhsuanlin.bitbucket.io Joined August 2014-
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Chen-Hsuan Lin retweeted
[1/N] 🎥 We've made available a powerful spatial AI tool named ViPE: Video Pose Engine, to recover camera motion, intrinsics, and dense metric depth from casual videos! Running at 3–5 FPS, ViPE handles cinematic shots, dashcams, and even 360° panoramas. 🔗 research.nvidia.com/labs/toronto-a…
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Chen-Hsuan Lin retweeted
We build Cosmos-Predict2 as a world foundation model for Physical AI builders — fully open and adaptable. Post-train it for specialized tasks or different output types. Available in multiple sizes, resolutions, and frame rates. 📷 Watch the repo walkthrough…
Cosmos-Predict2 is our latest open video foundation model for Physical AI! research.nvidia.com/labs/dir/cosmo… If you’re at #cvpr2025, I would also love to chat with you about world models!
Cosmos-Predict2 is our latest open video foundation model for Physical AI! research.nvidia.com/labs/dir/cosmo… If you’re at #cvpr2025, I would also love to chat with you about world models!
You think camera pose estimation is solved? How about @nvidia's Racer RTX? youtu.be/AsykNkUMoNU?si… We challenge you with ⚡️ Lightspeed benchmark (as part of DynPose-100K release) — crazy wild videos with 𝗴𝗿𝗼𝘂𝗻𝗱-𝘁𝗿𝘂𝘁𝗵 camera poses! huggingface.co/datasets/nvidi… #CVPR2025
You think camera pose estimation is solved? How about @nvidia's Racer RTX? youtu.be/AsykNkUMoNU?si… We challenge you with ⚡️ Lightspeed benchmark (as part of DynPose-100K release) — crazy wild videos with 𝗴𝗿𝗼𝘂𝗻𝗱-𝘁𝗿𝘂𝘁𝗵 camera poses! huggingface.co/datasets/nvidi… #CVPR2025
Chen-Hsuan Lin retweeted
Introducing NVIDIA Cosmos, an open-source, open-weight Video World Model. It's trained on 20M hours of videos and weighs from 4B to 14B. Cosmos offers two flavors: diffusion (continuous tokens) and autoregressive (discrete tokens); and two generation modes: text->video and…
Chen-Hsuan Lin retweeted
github.com/NVIDIA/Cosmos Cosmos is a developer-first platform designed to help physical AI builders accelerate their development. It has pre-trained world foundation models (diffusion & autoregressive) in different sizes and video tokenizers. They are open models with permissive…
Chen-Hsuan Lin retweeted
Everything you love about generative models — now powered by real physics! Announcing the Genesis project — after a 24-month large-scale research collaboration involving over 20 research labs — a generative physics engine able to generate 4D dynamical worlds powered by a physics…
Chen-Hsuan Lin retweeted
How to build an AI system that can generate 3D worlds from a single image? All you need is the **RIGHT** data! By training on over a million diverse 360 videos, our diffusion model can generate realistic visualizations of the world from arbitrary views. See more results below!
Chen-Hsuan Lin retweeted
We’ve been busy building an AI system to generate 3D worlds from a single image. Check out some early results on our site, where you can interact with our scenes directly in the browser! worldlabs.ai/blog 1/n
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