RobinsAIWorld/WorldModels/Abot-Recon - Storage Bucket

ABot-Recon

ABot-Recon is a streaming 3D reconstruction model that estimates camera motion and scene geometry online from extremely long videos using only a fixed local context of 12 frames. It predicts a point map in the current camera coordinate system and an adjacent-frame relative pose, then composes these local predictions into a global reconstruction through sequential composition.

Paper: Revisiting Local Context for Long-Horizon Streaming 3D Reconstruction
Project page: ABot-Recon
Code: github.com/amap-cvlab/ABot-Recon

Quick Start

from pathlib import Path
from abot_recon import ABotRecon

images = sorted(Path("examples/images").glob("*.jpg"))

model = ABotRecon.from_pretrained(
    "acvlab/ABot-Recon",
    device="cuda",
    attention_backend="auto",
    loop_closure=False,
)

result = model.infer(images)

trajectory = result.camera_poses
relative_poses = result.relative_poses
local_points = result.local_points
confidence = result.confidence

For a full description of usage options, please refer to the GitHub README.