#NVIDIAResearch collaborates with leading universities to advance #generativeAI, robotics, & natural sciences. At #NeurIPS, they'll present industry leading innovations in text-to-image transformation, photo-to-3D avatar conversion, & specialized robots. bit.ly/3GGF1No

Our code is now public!!🥳🎉 Webpage: diffusion-motion-transfer.github.io GitHub: github.com/diffusion-moti… Can't wait to see all the cool videos you can create! With the amazing Rafail Fridman Omer Bar Tal Yoni Kasten Tali Dekel

Today at 10:45 am, I’ll present our #NeurIPS2023 paper "SceneScape: Text-Driven Consistent Scene Generation" at the Great Hall & Hall B1+B2 (level 1), poster #119. Come say hi!

Today at 10:45 am, we will present SDS-Complete at #NeurIPS2023, poster #110. Come say hi!

Thrilled to share Mosaic-SDF (M-SDF), a simple 3D representation suitable for 3D generative models! Check out more results of text-to-3D generations here - lioryariv.github.io/msdf

I'm going to present ConsiStory📖 at #SIGGRAPH2024 this Monday @ 2pm! If you're around this week, DM me if you want to chat! Details below⬇️🧵

Excited to share our latest work! 🤩 Masked Mimic 🥷: Unified Physics-Based Character Control Through Masked Motion Inpainting Project page: research.nvidia.com/labs/par/maske… with: Yunrong (Kelly) Guo, Ofir Nabati, Gal Chechik and Jason Peng. SIGGRAPH Asia ➡️ Hong Kong (ACM TOG). 1/ Read

Reconstructing dynamic scenes from video inputs is challenging due to the sparse nature of inputs, both in time and space. In our new preprint, we address this issue by introducing the ReMatching framework - a novel approach for designing and integrating deformation priors into

🚀 Excited to release the code and demo for ConsiStory, our #SIGGRAPH2024 paper! No fine-tuning needed — just fast, subject-consistent image generation! Check it out here 👇 Code: github.com/NVlabs/consist… Demo: build.nvidia.com/nvidia/consist…

🚀 Our code and data are now live! Explore them here: github.com/NVlabs/tracks-… 📌🔥 #4DTracking