mohammadasim98/met3r
MEt3R: Measuring Multi-View Consistency in Generated Images
Computes differentiable multi-view consistency scores by leveraging DUSt3R for dense 3D reconstruction and warping image features across viewpoints, then comparing them using DINO embeddings upsampled via FeatUp. Supports multiple geometric backbones (MASt3R, DUSt3R, RAFT) and feature extractors (DINO, DiNOv2, CLIP, ResNet50) with configurable distance metrics (cosine similarity, LPIPS, PSNR, SSIM), enabling evaluation of novel view and video generation quality independent of the generative model used.
163 stars.
Stars
163
Forks
10
Language
Python
License
MIT
Category
Last pushed
Feb 23, 2026
Commits (30d)
0
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