🚀 Excited to share the release of GSPN! 🎉 #CVPR2025 #nvidia Our release includes a custom, highly optimized CUDA kernel for the core GSPN operation. 👉 Check out the code and try it for your vision foundational models: https://t.co/1IMW88SNGQ 📑Paper:

📢 Unposed few-view 3D reconstruction has never been so easy, and SOTA pose estimation as a byproduct! Check out our #ICLR2025 ORAL paper (top 1.8%): NoPoSplat! Catch the amazing @Botao_Ye at: Oral: Thu 4:18 pm Poster: Thu 10 am (#204) Website: https://t.co/uBhK0tvoVU

🚨Paper Alert 🚨 ➡️Paper Title: Describe Anything: Detailed Localized Image and Video Captioning 🌟Few pointers from the paper 🎯Generating detailed and accurate descriptions for specific regions in images and videos remains a fundamental challenge for vision-language models.

@nvidia @wonmin_byeon @kaihan_vis @xiaolonw @JinweiGu98 @jankautz @Jerry_XU_Jiarui Core contributors: Hongjun Wang, @wonmin_byeon , @Jerry_XU_Jiarui , @xiaolonw , @kaihan_vis , @JinweiGu98 , Charles Cheung, and @jankautz Key Highlights: 1. GSPN excels across various vision tasks, maintaining superior spatial coherence and fidelity. 2. Remarkably, it

Introducing GSPN: A Leap Forward in Vision Attention Mechanisms Paper: https://t.co/kQxemuWRNr Project: https://t.co/Ly2bd1KFcv We present GSPN (Generalized Spatial Propagation Network), a novel attention mechanism developed at @nvidia. Unlike pixel-to-pixel scans like mamba,

Let’s think about humanoid robots outside carrying the box. How about having the humanoid come out the door, interact with humans, and even dance? Introducing Expressive Whole-Body Control for Humanoid Robots: https://t.co/BI0Hvt7I7O See how our robot performs rich, diverse,

3D Gaussian Splatting is great, but can it work without the pre-computed camera poses? Introducing: COLMAP-Free 3D Gaussian Splatting Our recent work shows not only it can, but 3D Gaussians make camera pose estimation easy (compared to NeRF) along with reconstruction. 👇🧵