A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by Alexander Khazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.

Sim-to-Rerun: Using Rerun to visualize CARLA simulator output through #ROS 2. This example visualizes simulated sensor data from the CARLA simulator for autonomous driving in Rerun. It’s built using Rerun’s new proof-of-concept C++ ROS2 bridge, which currently has support for a

Thanks for sharing our work 🙂

Thanks for sharing Dmytro Mishkin 🇺🇦 It's actually none or multiple fields per keyframe. Depending on how much in a new keyframe is not covered by the existing fields yet. Will share a few more details once I'm back from IROS 🙂

Go2 in Rerun: visualizing Unitree Go2 quadruped using Rerun’s ROS 2 bridge PoC. This example visualizes the Go2 robot, its onboard sensor data, and how it sees the environment. It’s built using Rerun’s new proof-of-concept C++ ROS 2 bridge, which currently supports a

Project Aria data in Rerun! 👓 Project Aria is a research program from AI at Meta to accelerate AR and AI from a human perspective. Project Aria glasses are a sensor-packed device that helps researchers gather multimodal data (video, audio eye-tracking, and location) from the

Check out the Neural Graph Mapping for Dense SLAM with Efficient Loop Closure paper by Leonard Bruns, Jun Zhang, and Patric Jensfelt, visualized with Rerun. “Existing neural field-based SLAM methods typically employ a single monolithic field as their scene representation. This

HOT3D in Rerun! 🫱⌨️🫲 HOT3D is a new benchmark dataset for vision-based understanding of 3D hand-object interactions by Edward Miller and the Project Aria team at AI at Meta.

Vista is a generative driving world model by Gao et al. Built on Stable Video Diffusion, it can generate driving scenes conditioned on a single input image and optional, additional control inputs. In this example, we visualize the latent diffusion steps and the generated, decoded

I increasingly think OpenAI is trying to destroy the concept of copyright through desensitization. Copyright is a huge threat to their profits. They are facing multiple massive copyright lawsuits. So they release Sora, knowing it can output copyrighted IP and knowing people

ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training Leonard Bruns, Axel Barroso-Laguna, Tommaso Cavallari, Áron Monszpart, Sowmya Munukutla, Victor Prisacariu, Eric Brachmann tl;dr: transformer-based scene-agnostic coordinate regressor+map codes; separate

ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training Leonard Bruns Axel Barroso-Laguna , Tommaso Cavallari, Áron Monszpart Sowmya Munukutla, Victor Adrian Prisacariu Eric Brachmann tl;dr: SCR=attention(image x map code) arxiv.org/abs/2510.11605

Bruns et al., "ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training" Train a scene coordinate regressor with "map codes" (ie, trainable inputs) so that you can train one generalizable regressor. Then, find these "map codes" to localize.