README.md

metadata

pretty_name: Dynamic Multi-View Matching Benchmark
tags:
  - synthetic
  - blender
  - multi-view
  - feature-matching
  - correspondence
  - depth
  - instance-segmentation
task_categories:
  - image-feature-extraction
  - keypoint-detection
  - depth-estimation
  - image-segmentation
license: other
language:
  - en

Evaluating Feature Matching in Dynamic Scenes: A Novel Dataset for Benchmarking

Summary

This repository contains:

1. A synthetic multi-view dataset generated in Blender for benchmarking feature matching under camera motion + scene dynamics (object motion / addition-removal / scale changes / lighting changes).
2. Evaluation outputs obtained by running matching models on the dataset using Glue Factory framework.

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What is inside this repo

A) Dataset (blender_dataset folder)

The dataset consists of multi-view scenes. Each scene provides:

• RGB renders (.png)
• Depth maps (.exr)
• Object masks (.exr)
• Calibrated camera parameters per view (.npz: intrinsics + extrinsics)
• Per-object pose/scale per view (.npz)

B) Evaluation artifacts (outputs.zip file)

This repo also includes artifacts produced by running evaluation on:

• SuperGlue
• LoFTR
• LightGlue
• GlueStick