Lahav Lipson

I've worked on 3D reconstruction, including dense geometry, camera motion, and object motion. These projects often combined both deep learning and multiview geometry. I've also worked on procedural generation of 3D training data to address the data bottleneck in 3D vision.

I did my PhD in the Vision & Learning Lab at Princeton University, supervised by Prof. Jia Deng. I'm currently a researcher at Apple.

Click to Reveal Email  /  GitHub  /  LinkedIn  /  CV

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Research

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Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization


Lahav Lipson and Jia Deng
CVPR 2024
paper / code

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Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation


Alexander Raistrick*, Lingjie Mei*, Karhan Kaan Kayan* (equal contribution) David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng
CVPR 2024
paper (coming soon) / code (coming soon)

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View-Dependent Octree-based Mesh Extraction in Unbounded Scenes for Procedural Synthetic Data


Zeyu Ma, Alexander Raistrick, Lahav Lipson, Jia Deng
Arxiv 2023
paper / code (integrated into Infinigen)

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Infinigen: Infinite Photorealistic Worlds using Procedural Generation


Lahav Lipson*, Alexander Raistrick*, Zeyu Ma* (* equal contribution), Lingjie Mei, Mingzhe Wang, Yiming Zuo, Karhan Kayan, Hongyu Wen, Beining Han, Yihan Wang, Alejandro Newell, Hei Law, Ankit Goyal, Kaiyu Yang, Jia Deng
CVPR 2023
website / paper / video / code

Deep Patch Visual Odometry


Zachary Teed*, Lahav Lipson* and Jia Deng (* equal contribution)
Neurips 2023
paper / code

Coupled Iterative Refinement for 6D Multi-Object Pose Estimation


Lahav Lipson, Zachary Teed, Ankit Goyal and Jia Deng
Co-Winner of the BOP Object Pose Challenge at ECCV 2022 and ICCV 2023
CVPR 2022
paper / code / poster / video

RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching


Lahav Lipson, Zachary Teed and Jia Deng
3DV 2021 (Best Student Paper)
paper / code / poster


Design and source code forked from Alex Raistrick's fork of Leonid Keselman's fork of Jon Barron's website