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zhenpeiyang/README.md

Zhenpei Yang

Research scientist working on 3D computer vision, geometry, reconstruction, and autonomous systems.

My work explores how machines can recover structure, pose, and geometry from visual observations—especially when the available views are sparse, noisy, or far apart.

Selected work

  • MVS2D — efficient multi-view stereo with attention-driven 2D convolutions. Paper
  • RelativePose — extreme relative-pose estimation for RGB-D scans through scene completion. Paper
  • FvOR — robust joint shape and pose optimization for few-view object reconstruction. Paper
  • HM3D-ABO — a photorealistic, object-centric multi-view dataset for 3D reconstruction. Paper

Building my environment

Starhaven is my evolving personal computing environment: dotfiles, macOS services, devices, sounds, and automations designed to make a workspace feel thoughtful and alive.

Elsewhere

Popular repositories Loading

  1. RelativePose RelativePose Public

    Extreme relative-pose estimation for RGB-D scans through scene completion

    Python 148 15

  2. MVS2D MVS2D Public

    MVS2D: Efficient multi-view stereo with attention-driven 2D convolutions

    Python 128 13

  3. HM3D-ABO HM3D-ABO Public

    HM3D-ABO: A photorealistic object-centric multi-view dataset for 3D reconstruction

    Python 89 6

  4. FvOR FvOR Public

    FvOR: Joint shape and pose optimization for few-view object reconstruction

    Python 54 3

  5. Learning2Sync Learning2Sync Public

    Forked from xiangruhuang/Learning2Sync

    Python

  6. scene-representation-networks scene-representation-networks Public

    Forked from vsitzmann/scene-representation-networks

    Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

    Python