📢📢 Align Your Steps: Optimizing Sampling Schedules in Diffusion Models research.nvidia.com/labs/toronto-a… TL;DR: We introduce a method for obtaining improved sampling schedules for diffusion models, resulting in better samples at the same computation cost. (1/5)

We found a way to generate manifold, polygonal meshes from feature vectors at points -- even if the vectors are random, you are still guaranteed to get a manifold mesh! How? Halfedge meshes, permutations, spacetimes, and more! Check out the 🧵. This project was a blast!

Excited to share our #CVPR2025 paper: Difix3D+ Difix3D+ reimagines 3D reconstruction with single-step diffusion, distilling 2D generative priors for realistic novel view synthesis from large viewpoint shifts. 📄Paper: arxiv.org/abs/2503.01774 🌐Website: research.nvidia.com/labs/toronto-a…

Nvidia just dropped GEN3C 3D-Informed World-Consistent Video Generation with Precise Camera Control

Want precise control over the camera trajectory in your generated videos? Need to edit or remove objects in the scene? Check out how we leverage 3D in video models to make it happen! 🎉

Nvidia just released Cosmos-Transfer1 on Hugging Face Conditional World Generation with Adaptive Multimodal Control

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

📢 GEN3C is now open-sourced, with code released under Apache 2.0 and model weights under the NVIDIA Open Model License! 🚀 Along with it, we're releasing a GUI tool that lets you specify your desired video trajectory in 3D — come play with it and generate your own! The

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:

🚀 We just open-sourced Cosmos DiffusionRenderer! This major upgrade brings significantly improved video de-lighting and re-lighting—powered by NVIDIA Cosmos and enhanced data curation. Released under Apache 2.0 and Open Model License. Try it out! 🔗 github.com/nv-tlabs/cosmo…

[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…