pablovelagomez

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  1. I spent a bunch of time digging into the ARKitScenes dataset and built a pipeline that takes as input the raw data (arkit poses/low resolution depth maps/videos) and outputs a multiview and surface accurate gaussian…

  2. I want to rebuild ARKit's VIO and depth estimation in an open-source way. This is a blog post on the steps I'm taking to build this out. Mostly data work to start and choosing the right dataset to do it (in this case…

  3. From 8 -> 5 -> 4 exocentric cameras, all visualized with rerun.io. I've been working on human pose capture for robotics training data and have started making it more accessible by dropping the number of cameras used and…

  4. Hands‑only multi‑view hand pose pipeline with a browser demo in Rerun. Outputs: per‑view 2D keypoints + boxes, 3D keypoints, MANO joint angles & shape (all predictions, not GT). Four stages: camera estimation → shape…

  5. Introducing EgoExo Forge - built on top of Rerun, Gradio and Huggingface Hub (I’ll be in San Francisco July 21–29 — if you’re into robotics, egocentric AI, large-scale data collection, or just want to chat, email me at…

  6. I built a labeling UI using Gradio and Rerun in pure Python. I want to emphasize how powerful this combo is. Rerun excels at showing complex multimodal data, and Gradio makes it super easy to spin up a ui all in pure…

  7. Built a Gradio app that makes it easy to visualize the recent ego-dex dataset from Apple. Often feels like it's so hard to understand what's going on in a recently released dataset without easy visualization, so I built…

  8. MVP of Multiview Video → Camera parameters + 3D keypoints. The basic pipeline as of right now looks like this: 1. Capture – Using 4 iPhones and an Insta360 Go. iPhone videos are captured via Final Cut Pro Multicam for…

  9. I've been trying to wrap my head around fwd/bwd kinematics for imitation learning, so I built a fully‑differentiable kinematic hand skeleton in JAX and visualized it with reruns new callback system in a Jupyter…

  10. Continuing with my robot training collection pipeline, one of the challenges has been obtaining calibrated cameras from sparse multi-view inputs. I previously worked with Dust3r but found its accuracy insufficient for…

  11. I’m developing a straightforward method to collect first-person (ego) and third-person (exo) data for robotic training. I’ve been using the HO-cap dataset to establish a baseline, and here are some updates I’ve made: *…

  12. I ported mast3r slam to use rerun visualizer + gradio to hopefully make things easier to use.I include camera poses + pointcloud for use with nerfstudio, take a look here https://github.com/rerun-io/mast3r-slam…