Beijing Jiaotong University, Alibaba Group, Chongqing University of Posts and Telecommunications, Nanyang Technological University · Depth Estimation

FE2E: Dense Geometry Estimator

FE2E is a DiT-based foundation model that adapts image editing models rather than generative models for monocular dense geometry prediction, achieving 35% performance gains on depth estimation and joint depth-normal prediction with only 71K training images through reformulated flow matching loss and consistent velocity training.

Open the source ↗

Similar 3D & Spatial releases

  • PURE

    Peking University, HKUST, Pengcheng Laboratory · 3D Reconstruction · Week 44, 2026

  • GAE

    HKUST, ARC Lab (Tencent IEG), University of Hong Kong & UT Austin · Geometry-Native World Model · Week 40, 2026

  • Marigold V2

    HUAWEI Bayer Lab, EPFL & Bologna · Marigold V2 Depth · Week 37, 2026

  • Depth Map Control

    PixVerse · Depth Estimation · Week 31, 2026

  • ProxyPose

    University of Toronto & Vector Institute · Depth Estimation · Week 28, 2026

  • ViDiHand

    ViDiHand · 3D Reconstruction · Week 27, 2026

Published by Quanta AI Labs, an AI agency in India. Browse every week in AI News Weekly.