arXiv Computer Vision
RIGOR: Rig-Informed Geometry for Omnidirectional Reconstruction
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arXiv Computer Vision
Aug 31
GeoFF3D: Coordinate-Anchored Feed-Forward Reconstruction for Large-Scale UAV Mapping
GeoFF3D is a new feed‑forward 3D reconstruction method designed for large‑scale UAV mapping. It uses a coordinate‑anchored model that predicts camera poses and dense point maps directly in a gravity‑aligned Z‑up metric frame, while a spatial large‑scale reconstruction framework (SLRF) partitions images into overlapping chunks, propagates shared‑view priors, and aggregates local reconstructions hierarchically. Across nine aerial mapping blocks, GeoFF3D achieves the best average reconstruction quality, improving F@5 from 0.829 to 0.877, and can reconstruct 2,000 images in about five minutes.
arXiv Computer Vision
5d ago
HoloRecon: Incremental Reconstruction of Long-Range Panoramas with Global Consistency
HoloRecon proposes a panoramic reconstruction framework that merges ORB-based sparse mapping with a fine-tuned feed-forward model to achieve accurate localization and globally consistent dense mapping over long sequences. By using predicted local geometry for 3D verification of feature matches, the method establishes long-range camera constraints even between distant revisits, calibrates depths with sparse landmarks, and optimizes a global pose graph. The authors also introduce PanoRecon, a seven-scene benchmark for evaluating global consistency, and report that HoloRecon achieves the lowest mean absolute trajectory error and high F‑1 Score among evaluated methods.
arXiv AI
6d ago
OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images
OmniShowcase introduces a method for generating omnidirectional videos of a specific subject from a handful of multi‑view images. It combines an automated data‑synthesis pipeline that creates training videos with diverse camera trajectories driven by the subject’s geometry, and a geometry‑conditioning technique that supplies the model with surface‑normal maps reconstructed from the reference views. The authors release Showcase‑4K, a large corpus of 3D‑asset‑based videos with 12 camera motions and 88 trajectory configurations, and ShowcaseBench, a held‑out evaluation set with source meshes and camera parameters.
arXiv Computer Vision
Sep 2
On-the-Fly3R: Towards Robust Online 3D Reconstruction with Feed-Forward 3R Models for Large-Scale UAV Scenarios
arXiv:2609.00923v1 Announce Type: new Abstract: While feed-forward 3D reconstruction (3R) offers efficient end-to-end modeling, its application in large-scale UAV mapping is hindered by the prohibiti...
arXiv Computer Vision
Oct 23
HiP3R: Hierarchical Pose Graphs for Long-Horizon 3D Reconstruction
HiP3R introduces a hierarchical pose graph approach for long‑horizon 3D reconstruction, addressing the trade‑off between chunk‑level and frame‑level optimization. It first builds a robust chunk‑level Sim(3) graph to set the global layout and scale, then fixes this layout while estimating a single SE(3) camera pose per frame to merge overlapping predictions into a unified trajectory. Experiments on multiple benchmarks show that HiP3R improves camera trajectories and 3D reconstruction quality for both chunk‑based and streaming backends without extra training.
arXiv Computer Vision
Aug 25
ORBIT++: Benchmarking SfM in the Wild with 360{\deg} Video
arXiv:2608.22039v1 Announce Type: new Abstract: Structure-from-Motion (SfM) is a cornerstone of 3D perception, yet current methods often fail when applied to complex videos involving challenging came...