FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent

no code implementations • 23 Apr 2024 • Cameron Smith, David Charatan, Ayush Tewari, Vincent Sitzmann

This paper introduces FlowMap, an end-to-end differentiable method that solves for precise camera poses, camera intrinsics, and per-frame dense depth of a video sequence.

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction

1 code implementation • 19 Dec 2023 • David Charatan, Sizhe Li, Andrea Tagliasacchi, Vincent Sitzmann

We introduce pixelSplat, a feed-forward model that learns to reconstruct 3D radiance fields parameterized by 3D Gaussian primitives from pairs of images.

3D Reconstruction Generalizable Novel View Synthesis +1

Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD)

no code implementations • 24 Dec 2021 • David Charatan, Hongyi Fan, Benjamin Kimia

We present the Brown Pedestrian Odometry Dataset (BPOD) for benchmarking visual odometry algorithms in head-mounted pedestrian settings.

Benchmarking Position +1

ShapeMOD: Macro Operation Discovery for 3D Shape Programs

1 code implementation • 13 Apr 2021 • R. Kenny Jones, David Charatan, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie

In this paper, we present ShapeMOD, an algorithm for automatically discovering macros that are useful across large datasets of 3D shape programs.