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README.md

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+---
+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.
+
+---
+
+## 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 ID maps / instance segmentation (`.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