metadata
license: other
license_name: nvidia-license
license_link: LICENSE
pipeline_tag: image-to-3d
tags:
- 3d-reconstruction
- camera-pose-estimation
- multi-view
Solv3R: 3D Looped Transformer as a Multi-view Solver
Pretrained weights of Solv3R (paper, project page, code).
from solv3r import Solv3R, cameras_from_pose_enc, list_images, load_images
model = Solv3R.from_pretrained() # downloads solv3r.safetensors from this repo
images = load_images(list_images("path/to/images"))
ctx = model.encode(images)
z = model.solve(ctx, calls=16)
pred = model.decode(z, ctx) # depth, depth_conf, rays, world_points, pose_enc
c2w, K = cameras_from_pose_enc(pred["pose_enc"], (ctx.H, ctx.W))
The weights are built on DVLT and are released under the NVIDIA License (non-commercial, research and evaluation use only).
@article{kwak2026solv3r,
title = {Solv3R: 3D Looped Transformer as a Multi-view Solver},
author = {Kwak, Jeong-gi and Tagliasacchi, Andrea and Kagami, Sho and Ono, Yuki and Yi, Kwang Moo},
journal = {arXiv preprint arXiv:2611.02857},
year = {2026}
}