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🥳Very excited to share our new work: CoACD, a novel convex decomposition method. It better preserves collision conditions of the input shape with fewer components, enabling delicate and efficient object interaction in physics simulators! #SIGGRAPH2022 colin97.github.io/CoACD/

How to get started in embodied AI research? How to build a virtual environment for your next project in navigation, manipulation, locomotion, or rearrangement? Welcome to our #CVPR2022 tutorial Building and Working in Environments for Embodied AI! ai-workshops.github.io/building-and-w…

The ManiSkill 2022 large-scale robotic manipulation challenge is officially released🚀! Feature: - Rigid & soft body tasks - Complex contact-rich dynamics - Diverse object categories & geometry - Fast simulation for visual RL⚡️(5x faster than DMControl) sapien.ucsd.edu/challenges/man…

Excited to release Zero123++, an image-conditioned diffusion model for generating high-quality, 3D-consistent multi-view images from a single input view! Paper: arxiv.org/abs/2310.15110 Code: github.com/SUDO-AI-3D/zer… 🤗Demo: huggingface.co/spaces/sudo-ai…

📢Thrilled to announce sudoAI (sudoAI), founded by a group of leading AI talents and me!🚀 We are dedicated to revolutionizing digital & physical realms by crafting interactive AI-generated 3D environments! Join our 3D Gen AI model waitlist today! 👉sudo.ai

One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion paper page: huggingface.co/papers/2311.07… Recent advancements in open-world 3D object generation have been remarkable, with image-to-3D methods offering superior fine-grained control

Announcing DISO - a fast, efficient, and differentiable iso-surface extraction package🤩! DISO outperforms DMTet & FlexiCubes by 10-20x in speed and demands significantly less CUDA memory. It is also easily installable from pip. Check it out! github.com/SarahWeiii/diso

Introducing ZeroRF, where we reconstruct high-quality radiance fields from *sparse views* at an order of magnitude faster than previous methods (30 secs for 320x320) without any pretraining or additional regularization! sarahweiii.github.io/zerorf/

🥳 ZeroRF has been accepted to #CVPR2024! Check the code here: github.com/eliphatfs/zero…

Check our MeshLRM 🌟, which achieves state-of-the-art mesh reconstruction from sparse-view inputs within 1 second! 🚀🚀🚀 Paper: arxiv.org/abs/2404.12385 Project page: sarahweiii.github.io/meshlrm/

Want to obtain time-consistent dynamic mesh from monocular videos? Introducing: Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Monocular Videos liuisabella.com/DG-Mesh/ We reconstruct meshes with flexible topology change and build the corresp. across meshes. 🧵(1/n)

Want high-quality 3D meshes with sharp geometric details? Try our newly released MeshFormer! It only takes 8 GPUs for two days of training, outperforming state-of-the-art models that use over a hundred GPUs! With 3D-native input guidance, representations, supervision, and

Meet #HillbotAlpha, the first fully autonomous mobile manipulation robot trained using sim-to-real technology. Designed in Hillbot’s San Diego headquarters, Hillbot Alpha represents the potential of data synthesis via simulation in robotics. Through a robust strategy that

Fantastic work! Thrilled to see our method CoACD being cited and contributing to advancements in geometry processing. It's always exciting to see how our research can support the community. 🚀✨

Really honored to have contributed to the physics alignment evaluation of the Cosmos during my internship at NVIDIA 💚 The model is now officially released — feel free to check it out!

Proud moment for Hillbot! We were featured in Jensen Huang's keynote presentation at #CES2025📷! Using NVIDIA Cosmos, Hillbot is pushing the boundaries of robotic training with terabytes of AI-generated high-fidelity 3D environments. Read More: hillbot.ai/blog/hillbot-n…