Olaf Dünkel
@oduenkel.bsky.social
ELLIS PhD @ MPI & Oxford - Generative Models for Vision
https://odunkel.github.io/
https://odunkel.github.io/
DIY-SC features are more 3D-aware and stable compared to DINOv2. [5/6]
June 26, 2025 at 12:56 PM
DIY-SC features are more 3D-aware and stable compared to DINOv2. [5/6]
Are you using DINOv2 for tasks that require semantic features? DIY-SC might be the alternative!
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
June 26, 2025 at 12:56 PM
Are you using DINOv2 for tasks that require semantic features? DIY-SC might be the alternative!
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC