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New #NVIDIA #GTC24 paper 🎊 We generate high-quality 3D assets in only 400ms from text by combining (a) amortized optimization for speed, (b) surface rendering for quality, and (c) 3D data for robustness. ☕ LATTE3D project details: research.nvidia.com/labs/toronto-a… 🧵with many fun gifs

Nvidia presents Align Your Steps Optimizing Sampling Schedules in Diffusion Models Diffusion models (DMs) have established themselves as the state-of-the-art generative modeling approach in the visual domain and beyond. A crucial drawback of DMs is their slow sampling speed,

Excited to release 🚀NeRF-XL🚀, a principled method to distribute your NeRF's parameters to multiple GPUs! research.nvidia.com/labs/toronto-a… It is heuristics-free and mathematically equiv. with training your NeRF on a single (large) GPU. Let's scale it up!🌎

In this new work, we seek to understand what guidance really means in the context of diffusion models. No, it’s not about the prompts! arxiv.org/abs/2406.02507 NVIDIA AI Computer Science Finnish Center for AI 🦣 @[email protected]

Excited to present my poster on "Align Your Steps" at ICML Conference tomorrow!🎉 I hope to see you in Hall C, booth #717 from 11:30-13:00. Also, feel free to reach out if you're interested in diffusion models & flow matching and would like to chat. 💬

#ICML2024 diffusion circle 📢: let's meet at 3PM on Thursday at registration, near the Vienna tourism desk. We'll find a spot to sit nearby. Spread the word, bring your diffusion friends!

🌟 Seamlessly insert 3D objects into any scene! 🚀 Introducing our #ECCV2024 work “DiPIR”, a method to recover lighting from a single image, enabling photorealistic virtual object compositing into indoor and outdoor scenes. Project page: research.nvidia.com/labs/toronto-a…

My team at nvidia is recruiting PhD research interns for next year. Do you like ML + graphics/vision/geometry/simulation? Apply to work with us! nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx…

Generating nice meshes in AI pipelines is hard. Our #SIGGRAPHAsia2024 paper proposes a new representation which guarantees manifold connectivity, and even supports polygonal meshes -- a big step for downstream editing and simulation. (1/N) SpaceMesh: research.nvidia.com/labs/toronto-a…

🚀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🚗.

FlexiCubes is now under Apache 2.0! 🎉 We've been excited to see FlexiCubes extracting high-quality meshes across the community in projects like TRELLIS and TripoSF --- now it's available with a more permissive license. Let's keep building. 💙 👉 Flexicubes is in NVIDIA

We are excited to share Cosmos-Drive-Dreams 🚀 A bold new synthetic data generation (SDG) pipeline powered by world foundation models—designed to synthesize rich, challenging driving scenarios at scale. Models, Code, Dataset, Tookit are released. Website:

Nvidia just announced Align Your Flow Scaling Continuous-Time Flow Map Distillation

📢📢 "Align Your Flow: Scaling Continuous-Time Flow Map Distillation" New flow map framework for state-of-the-art few-step generation, w/ the amazing Amirmojtaba Sabour and Sanja Fidler. 🔥 Project page: research.nvidia.com/labs/toronto-a… 📜 Paper: arxiv.org/abs/2506.14603 🧵Thread below... (1/n)