@DINOv3

Researchers have developed representation-conditioned diffusion models that generate synthetic training images by conditioning on learned representations from DINOv2, DINOv3, and CLIP, achieving a 10.…

Researchers have developed STROP, a discrete visual tokenizer that learns to generate variable-length structural scene representations, determining the optimal sequence length for each image in a sing…