Downloads · 30 days
0
HorizonRobotics/NoDrift3R
NoDrift3R is a machine learning model from HorizonRobotics. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
0
Access
Public
Updated Sep 2, 2026
Repo size
40.4 GB
Likes
0
Public
Click a slice to open those files.
.ckpt40.4 GB · 100%
From the Hugging Face model README
Project Page | Paper | Code
<p align="center"> <img src="https://xiangyu1sun.github.io/NoDrift3R-project-page/static/images/problem.png" alt="NoDrift3R overview" width="100%"> </p>NoDrift3R is an ECCV 2026 method for drift-robust, pose-free feed-forward 3D Gaussian Splatting reconstruction. It targets cumulative camera-pose drift in long, unposed image sequences by explicitly coupling geometry and appearance. Gaussian centers are anchored to raymap-induced geometry, while RGB reconstruction, raymap consistency, and camera regularization are optimized jointly to improve rendering, geometry, and pose estimation together.
This repository contains the following checkpoints:
dl3dv_giant_2_8_H20.ckptdl3dv_large_4_8_5090.ckptmix_dataset_giant_4_8_H20.ckptmix_dataset_large_8_8_5090.ckptPlease follow the GitHub repository and project page for code, configuration, dataset, and usage updates.
If you find NoDrift3R useful in your research, please cite:
@misc{sun2026nodrift3rraymapguidedcouplingdriftrobust,
title = {NoDrift3R: Raymap-Guided Coupling for Drift-Robust Unposed Feed-Forward 3D Reconstruction},
author = {Xiangyu Sun and Liu Liu and Seungkwon Yang and Jingbing Han and Seungtae Nam and Zhizhong Su and Eunbyung Park},
year = {2026},
eprint = {2607.07168},
archivePrefix = {arXiv},
primaryClass = {cs.CV},
url = {https://arxiv.org/abs/2607.07168}
}