Check out the cool work led by Jeff!

Sharing my recent project, agent-to-sim: From monocular videos taken over a long time horizon (e.g., 1 month), we learn an interactive behavior model of an agent (e.g., a 🐱) grounded in 3D. gengshan-y.github.io/agent2sim-www/

My lab at Duke has multiple Ph.D. openings! Our mission is to augment human decision-making by advancing the reasoning, comprehension, and autonomy of modern AI systems. I am attending #emnlp2024, happy to chat about PhD applications, LLM agents, evaluation etc etc!

Creativity unleashed 👨‍🎨🎨✨ 👀 Edify3D from #NVIDIAResearch explores a new way to generate text-to-#3D images. 📗 Project page: research.nvidia.com/labs/dir/edify… 📝 Paper: arxiv.org/abs/2411.07135 🔊 sound on

This is a perfect example of unfair bias being perpetuated. What do you really know about the "culture"? Take the excuse made by one student and blame it on the whole culture?

🚀Excited to introduce GEN3C #CVPR2025, a generative video model with an explicit 3D cache for precise camera control. 🎥It applies to multiple use cases, including single-view and sparse-view NVS🖼️ and challenging settings like monocular dynamic NVS and driving simulation🚗.

Introduce CoT-VLA – Visual Chain-of-Thought reasoning for Robot Foundation Models! 🤖 By leveraging next-frame prediction as visual chain-of-thought reasoning, CoT-VLA uses future prediction to guide action generation and unlock large-scale video data for training. #CVPR2025

🚀Excited to release PartField—a feedforward model that learns part-based feature fields for 3D shapes! It enables lightning-fast⚡️, robust, open-world hierarchical 3D part seg and unlocks cross-shape applications like co-seg and correspondence! 🔗shorturl.at/HnUmc 1/n

Curious about 3D Gaussians, simulation, rendering and the latest from #NVIDIA? Come to the NVIDIA Kaolin Library live-coding session at #CVPR2025, powered by a cloud GPU reserved especially for you. Wed, Jun 11, 8-noon. Bring your laptop! tinyurl.com/nv-kaolin-cvpr…

Join us for our workshop: Agents in Interaction, from Humans to Robots, on June 12th at 9:25 am, Room 213! We have an exciting line of speakers from both robotics and digital humans. Please come! #CVPR2025 More info: agents-in-interactions.github.io

Your 3D Gaussian Splats look great, but physics? They've been a flop. Discover how to do deformable simulations on 3DGS at #NVIDIAResearch's NVIDIA Kaolin & Warp workshop at #SIGGRAPH2025 👉 nvda.ws/4o61SGP

[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…

just wrote: Hopefully the Most Gentle Introduction to Simulation rishit-dagli.github.io/2025/09/18/sim…

🔍 New NVIDIA Spatial Intelligence Lab internship postings for 2026. Come work with us to advance foundational technologies that enable AI systems to model and interact meaningfully with the world! Topics on our homepage: research.nvidia.com/labs/sil/ Application link below

📢want to produce realistic dynamic 3d worlds (with >100 splats) my new NVIDIA internship project, VoMP, is the first feed forward approach to convert input surface geometry to volumetric sim-ready assets by assigning real world physics materials 🌐Project: