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We used DINOv1 during our first development to align with the original LRM paper and to avoid introducing new factors. Now that the codebase is been verified in v1.0, we switch to DINOv2 to ensure its absolute performance.
Dear authors:
Thank you for your great work! I wonder why you used DINOV1 instead DINOV2, which is more suitable for dense prediction task. Thank you!
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